Data Science Intern - Global Industries
Data Science Internship Job 144 miles from Farmington
Do you want to get a foot in the door and perhaps even get the chance to interview early for one of the best technology jobs in the world? If so, you may be an ideal candidate for our internship program. Gain invaluable experience in what it is like to work at a leading global hardware and software systems innovator - Oracle. Your colleagues are industry experts and knowledgeable veterans. Your contributions will enhance real Oracle products and services. By the end of your internship you will be connected to a powerful network of professionals, managers, and executives.
Completed second year of undergraduate degree in computer science, computer engineering, electrical engineering, or related area of study. Strong academic achievement. Strong interest in technical area of study.
**The Program:**
Our future success depends on hiring extraordinary, early in career talent who are looking to power next-generation services and solutions. We are hiring bachelor's and master's degree students with a diverse set of skills and experiences to work in and across multiple teams within Oracle. Our program is intended to enhance your overall learning experience, help build your network, and accelerate your opportunity to make an impact. Create the future with us!
**The Company:**
Oracle is the world's leading provider of business software! With a presence in over 175 countries, we are one of the biggest technology companies on the planet. We're using innovative emerging technologies to tackle real-world problems today. From advancing energy efficiency to reimagining online commerce, the work we do is not only redefining the world of business-it's helping advance governments, power nonprofits, and giving billions of people the tools they need to outpace change. For more information about Oracle (NYSE:ORCL), visit us at oracle.com.
Career Level - IC0
**Responsibilities**
**What You'll Do:**
Data Scientist Intern responsibilities may include, but are not limited to:
+ Work on multiple stages of data science projects, including data pipeline, aggregation, feature engineering, modeling and visualization.
+ Develop models to build solutions to tackle real-world business problems
+ Interact with product and service teams to identify questions and issues for data analysis and experiments
+ Communicate your analysis findings to product, service, and business managers
We are seeking to grow the data science capabilities with forward-thinking and diverse interns with exceptional technical ability. This is an exciting role that will stretch your knowledge and curiosity, while at the same time is a phenomenal opportunity to learn new skills and work within an unusually talented, global community at Oracle.
**What You'll Bring (Objective Minimum Qualifications):**
To be considered for a Data Scientist Intern position, you must possess the Objective Minimum Qualifications (OMQs) below. **Please ensure that your application clearly indicates that you meet these OMQs** , either on your resume and/or by uploading additional documents such as a transcript.
+ Will be enrolled in a Bachelor's, Master's or PhD degree program in an applied business or quantitative field such as Statistics, Operations Research, Applied Mathematics, Computer Science, Economics, Business Analytics, or equivalent field during the 2024-2025 school year.
+ Have completed **at least your junior year** toward your undergraduate degree, or higher, by summer 2024.
+ Have academic coursework, projects, internships, and/or research experience with tools needed to execute the more technical aspects of statistical data analysis, including proficiency (e.g., can complete projects without any assistance) in **at least one** of the following programming languages:
+ Python, Java, R, SQL, PL/SQL.
+ Have experience through coursework, projects, internships, and/or research with **at least one** of the following libraries:
+ Numpy, Scipy, Matplotlib, SciKit, TensorFlow, PyTorch, Spark
+ Have completed coursework, projects, internships, and/or research in **two or more** of the following:
+ Algorithms
+ Artificial Intelligence
+ Big Data Query
+ Data Mining
+ Data Modeling
+ Machine Learning
+ Statistical Inference/Analysis
+ Attend a university in the US.
+ Authorized to work in the US in 2025.
+ No visa sponsorship available
+ Must be enrolled in a university prior to and following internship completion
Disclaimer:
**Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates.**
**Range and benefit information provided in this posting are specific to the stated locations only**
US: Hiring Range: from $18.99 to $53.00 per hour; from $39,500 to $110,240 per annum.
Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business.
Candidates are typically placed into the range based on the preceding factors as well as internal peer equity.
Oracle US offers a comprehensive benefits package which includes the following:
1. Medical, dental, and vision insurance, including expert medical opinion
2. Short term disability and long term disability
3. Life insurance and AD&D
4. Supplemental life insurance (Employee/Spouse/Child)
5. Health care and dependent care Flexible Spending Accounts
6. Pre-tax commuter and parking benefits
7. 401(k) Savings and Investment Plan with company match
8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation.
9. 11 paid holidays
10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours.
11. Paid parental leave
12. Adoption assistance
13. Employee Stock Purchase Plan
14. Financial planning and group legal
15. Voluntary benefits including auto, homeowner and pet insurance
The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted.
**About Us**
As a world leader in cloud solutions, Oracle uses tomorrow's technology to tackle today's problems. True innovation starts with diverse perspectives and various abilities and backgrounds.
When everyone's voice is heard, we're inspired to go beyond what's been done before. It's why we're committed to expanding our inclusive workforce that promotes diverse insights and perspectives.
We've partnered with industry-leaders in almost every sector-and continue to thrive after 40+ years of change by operating with integrity.
Oracle careers open the door to global opportunities where work-life balance flourishes. We offer a highly competitive suite of employee benefits designed on the principles of parity and consistency. We put our people first with flexible medical, life insurance and retirement options. We also encourage employees to give back to their communities through our volunteer programs.
We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by calling ***************, option one.
**Disclaimer:**
Oracle is an Equal Employment Opportunity Employer*. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.
*** Which includes being a United States Affirmative Action Employer**
Staff Data Scientist - Trust and Safety
Data Science Internship Job 142 miles from Farmington
**Our Mission** As the world's number 1 job site*, our mission is to help people get jobs. We strive to cultivate an inclusive and accessible workplace where all people feel comfortable being themselves. We're looking to grow our teams with more people who share our enthusiasm for innovation and creating the best experience for job seekers.
(*com Score Total Visits, September 2023)
**Day to Day**
As a Staff Data Scientist, you will be a team lead. You will own one of the team's major workstreams, help drive technical direction for the team, and guide other members of the team to achieve product/technical goals. On a daily basis, you will explore data and formulate problem statements, develop and deploy predictive models while monitoring them in production, and guide the team on the same. Additionally, you will collaborate with cross-functional teams, evangelize your team's work, and stay updated with the latest advancements in the field.
**Responsibilities**
+ Collaborate with cross-functional teams to enhance and optimize search algorithms for improved accuracy, relevance, and overall user experience.
+ Experiment with Proof of Concept Machine Learning model improvements, scale them to production, and run iterative A/B experiments to improve our matching technology while collaborating with other teams
+ Define and clarify project priorities, deliverables, and success criteria in collaboration with cross-functional teams.
+ Act as a bridge between technical and non-technical collaborators, facilitating effective communication and understanding of project goals and outcomes.
+ Mentor and grow other software engineers, data scientists, and Machine Learning Engineers across teams
+ Break down larger Machine Learning initiatives into pieces that deliver incremental business value and guide the team through implementing them
+ Represent Indeed at major Machine Learning conferences like Neural Information Processing Systems (NeurIPS), International Conference on Machine Learning (ICML), and International Conference on Learning Representations (ICLR)
**Skills/Competencies**
We are looking for someone with a deep interest in designing and building machine learning systems, someone who loves thought-provoking assignments, is eager to learn, and wants to work with a variety of technologies to "help people get jobs".
+ Bachelors in Computer Science, Mathematics, or related fields
+ 5+ years of industry experience as an AI Engineer, Data Scientist, or Machine Learning Engineer
+ Prior success in deploying impactful Machine Learning solutions to large-scale production systems, while collaborating across teams.
+ Solid knowledge of data structures and algorithms
+ Sense of ownership and accountability as a key contributor in the technical and product domains
+ Knowledge and practical experience working on Deep Learning Libraries (like PyTorch, Tensorflow, etc.)
+ Excellent written and verbal communication in English, effective with technical and business audiences
**Salary Range Transparency**
Austin, Metro Area. 164,000 - 238,000 USD per year
New York City, Metro Area 179,000 - 259,000 USD per year
Seattle, Metro Area 183,000 -266,000 USD per year
San Francisco, Metro Area 191,000 - 276,000 USD per year
US Remote 164,000 - 238,000 USD per year
**Salary Range Disclaimer**
The base salary range represents the low and high end of the Indeed salary range for this position in the given work location. Actual salaries will vary depending on factors including but not limited to location, experience, and performance. The range(s) listed is just one component of Indeed's total compensation package for employees. Other rewards may include quarterly bonuses, Restricted Stock Units (RSUs), a Paid Time Off policy, and many region-specific benefits.
To learn more about your pay transparency rights, click here (***********************************************************************************************
**Benefits - Health, Work/Life Harmony, & Wellbeing**
We care about what you care about. We have a multitude of benefits to support Indeedians, as well as their pets, kids, and partners including medical, dental, vision, disability and life insurance. Indeedians are able to enroll in our company's 401k plan, as well as an equity-based incentive program. Indeedians will also receive open paid time off, 12 paid holidays a year and up to 26 weeks of paid parental leave. For more information, select your country and learn more about our employee benefits, program, & perks at *****************************
**Equal Opportunities and Accommodations Statement**
Indeed is deeply committed to building a workplace and global community where inclusion is not only valued, but prioritized. We're proud to be an Equal Employment and Affirmative Action employer seeking to create a welcoming and diverse environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity or expression, family status, marital status, sexual orientation, religious creed, national origin, genetics, neuro-diversity, disability, age, status as a protected veteran, or any other non-merit based or legally protected grounds.
Indeed is dedicated to providing reasonable accommodations to qualified individuals with known disabilities to participate in the employment application process. To request an accommodation, an applicant should contact Talent Attraction Accommodations at **************, or by email at accommodations@indeed.com. In the request for an accommodation, please inform us of the nature of your request and your contact information. If you are requesting accommodation for an interview, please reach out at least one week in advance of your interview.
**Inclusion & Belonging**
Inclusion and belonging are fundamental to our hiring practices and company culture, forming an integral part of our vision for a better world of work. At Indeed, we're committed to the wellbeing of our employees and on a mission to make this the best place to work and thrive. We believe that fostering a diverse and inclusive environment where every employee feels respected and accepted benefits everyone, fueling innovation and creativity.
We value diverse experiences, including those who have had prior contact with the criminal legal system. We are committed to providing individuals with criminal records, including formerly incarcerated individuals, a fair chance at employment.
Those with military experience are encouraged to apply. Equivalent expertise demonstrated through a combination of work experience, training, military experience, or education is welcome.
**Indeed's Employee Recruiting Privacy Policy**
Like other employers Indeed uses our own technologies to help us find and attract top talent from around the world. In addition to our site's user and privacy policy found at **************************** , we also want to make you aware of our recruitment specific privacy policy found at ****************************/indeed-jobs .
**Agency Disclaimer**
Indeed does not pay placement fees for unsolicited resumes or referrals from non-candidates, including search firms, staffing agencies, professional recruiters, fee-based referral services, and recruiting agencies (each individually, an "Agency"), subject to local laws. An Agency seeking a placement fee must obtain advance written approval from Indeed's internal Talent Acquisition team and execute a fee agreement with Indeed for each job opening before making a referral or submitting a resume for that opening.
**_Reference ID:_** **44844**
**\#INDDATA**
**The deadline to apply to this position is December 15th. Job postings may be extended at the hiring team's discretion based on applicant volume.**
Reference ID: 44844
Data Analyst
Data Science Internship Job 142 miles from Farmington
Data AnalystJob Category: Information TechnologyTime Type: Full time Minimum Clearance Required to Start: SecretEmployee Type: RegularPercentage of Travel Required: Up to 25%Type of Travel: Outside Continental US* * *
The Opportunity:
CACI is seeking a Data Analyst to join our team in Albuquerque, New Mexico! In support of the Joint Navigation Warfare Center (JNWC) contract, you will be a part of our team's efforts to empower the Department of Defense's navigation warfare (NAVWAR) mission ensuring positioning, navigation and timing superiority. Our mission is to provide combatant commanders and joint force commanders with subject matter expertise on planning and conducting NAVWAR by providing knowledge of friendly and enemy NAVWAR Order of Battle and PNT-related successes and threats.
Responsibilities:
Help develop critical navigation warfare insights to enhance DoD's understanding of PNT vulnerabilities and threats, supporting operational readiness and strategic decision-making across multiple defense agencies and coalition partners.
Develop and script data processing workflows to create and maintain dashboards and reports, providing key insights to internal and external stakeholders within the Department of Defense.
Leverage advanced analysis software to process and interpret RF data collected from field events and military exercises, providing actionable insights.
Collaborate with engineering teams to gather analysis and data requirements during the planning phase and developing test plans to characterize and assess navigation hardware performance.
Handle requests to identify potential RF interference that could impact space launches, ensuring thorough analysis and timely resolution.
Provide real-time guidance and expertise on data quality during the testing of navigation hardware in field tests and military exercises.
Actively participate in shaping the strategic direction of PNT systems through insightful data analysis and the creation of actionable recommendations.
Keep up to date with emerging technologies in data science, artificial intelligence, and machine learning, applying them to PNT-related challenges to support JNWC's goals.
Use data insights to identify trends, patterns, and emerging threats, aiding in shaping the operational environment and ensuring the JNWC's position as a leader in PNT superiority.
Travel in support of military exercises and operational field assessments, leveraging data analysis to enhance the organization's subject matter expertise and inform decision-making.
Qualifications:
Secret clearance to begin work, with the ability to obtain TS/SCI.
Bachelor's degree (BA/BS) in an Engineering field (Electrical, Mechanical, RF) or Data Science.
5 years of experience in Electrical, Mechanical, RF Engineering, or Data Science.
A strong foundation in technical principles and data-driven methodologies.
A proven track record of applying technical expertise to solve complex engineering problems and drive data-driven insights.
Desired:
Experience or familiarity in data manipulation, including cleaning, transforming, and analyzing large datasets using tools such as Excel, SQL, Python, or R.
Experience coding for data analytics and visualization, utilizing languages such as Python, R, or JUMP to automate data workflows, perform statistical analysis, and create interactive reports or dashboards.
Proficiency in some or all the following tools and technologies: JUMP, GIANT, GIANT RPM, Builder, Systems Toolkit (STK), or other modeling and simulation programs.
-
________________________________________________________________________________________
What You Can Expect:
A culture of integrity.
At CACI, we place character and innovation at the center of everything we do. As a valued team member, you'll be part of a high-performing group dedicated to our customer's missions and driven by a higher purpose - to ensure the safety of our nation.
An environment of trust.
CACI values the unique contributions that every employee brings to our company and our customers - every day. You'll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality.
A focus on continuous growth.
Together, we will advance our nation's most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground - in your career and in our legacy.
Your potential is limitless. So is ours.
Learn more about CACI here.
________________________________________________________________________________________
Pay Range: There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits. Learn more here.
The proposed salary range for this position is:
$65,000 - $136,500
CACI is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any other protected characteristic.
Data Analyst, Mid
Data Science Internship Job 9 miles from Farmington
The Opportunity: As an analytics professional, you love diving into data and turning it into meaningful insights. Do you want to use your analytical mindset and grow your technical skills while developing solutions to problems? Are you excited at the prospect of unlocking the secrets held by a data set? In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a data analyst at Booz Allen, you can help turn these complex data sets into useful information to solve global challenges. Across private and public sectors, we need you to help find the answers in the data.
On our team, you'll use your communication skills and analytical expertise to create real-world impact. You will be working with a multi-disciplinary team of data analysts, data scientists, data engineers, electrical engineers, test engineers, developers, and data consumers in a fast-paced, agile environment directly assisting Department of Defense clients, such as the U.S. Air Force, in the testing and certification of new or modified aircraft systems. You'll work closely with clients to understand the requirements behind every effort, and then dig into their data and documentation to help find the pieces of their information puzzle. You'll run analytical tools, clean and transform data, conduct research, draft, review, and edit analytical reports, and effectively communicate results to the client in support of their decisions. You'll guide teammates and help lead analytical processes and the development of algorithms and systems. You'll use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to advise your clients as they make informed decisions. Ultimately, you'll provide a deep understanding of the data, what it all means, and how it can be used.
Work with us as we use data for good.
What You'll Work On:
* Use your technical knowledge and analytical mindset to support client and stakeholder relationships.
* Research, develop, and test data methodologies, and generate cross-functional solutions through collection, interpretation, design of experiments, evaluation, and analysis of large data sets.
* Apply your skills and data analytics experience by simplifying technical requirements and trends, based on audience.
* Present data findings and recommendations to clients and stakeholders using your knowledge of databases, scripting languages such as SQL, R, and Python, and Microsoft Office Suite.
* Establish quantitative and qualitative metrics and key performance indicators to drive technical outcomes.
* Apply data visualization through different formats such as graphs, tables, PowerPoint presentations, and Tableau Dashboards.
* Grow your communication and technical skills by merging big data to create data-centric solutions across the testing and evaluation industry.
Join us. The world can't wait.
You Have:
* 2+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining
* 2+ years of experience communicating analysis both in written and verbal form
* Experience writing analytical and technical reports and developing data visualizations to deliver key insights
* Experience with a scripting language such as SQL, R, or Python to extract data and perform analytics and visualizations
* Experience communicating and presenting analyses
* Knowledge of good data principles, including data cleaning, preprocessing, and wrangling
* Ability to clearly convey complex data insights to non-technical stakeholders, and provide writing samples
* Ability to maintain accuracy while dealing with large data sets with a high attention to detail and quality
* Secret clearance
* Bachelor's degree
Nice If You Have:
* Experience with inferential statistics, including hypothesis testing, confidence intervals, and design of experiments
* Experience with DevOps principles and Agile methodologies such as Kanban and Scrum
* Experience with version control systems such as Git
* Experience with electrical engineering data such as sensor data, signal processing, and system logs
* Experience with the 1553 bus system
* Experience in Developmental or Operational Test and Evaluation
* Knowledge of descriptive statistics, including measures of central tendency and dispersion
* Knowledge of probability distributions, both discrete and continuous
* Top Secret clearance
Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance is required.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $60,400.00 to $137,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Work Model
Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely.
* If this position is listed as remote or hybrid, you'll periodically work from a Booz Allen or client site facility.
* If this position is listed as onsite, you'll work with colleagues and clients in person, as needed for the specific role.
Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.
Investment Analytics Data Analyst
Data Science Internship Job In New Mexico
Requirements
Bachelor's degree in Economics or similar quantitative field.
2+ years of exposure to financial markets and financial instruments, either through higher education or previous work experience, preferably with advanced knowledge of investment securities (including derivatives).
2+ years of demonstrable experience with programming languages, databases, process automation, and data visualization. Preferably, this would include experience in SQL, Python, R, PowerBI, or Tableau.
Knowledge of FactSet and Bloomberg - preferred.
Ability to manage multiple tasks, competing priorities and deadlines effectively.
Analytical thinker with high attention to detail and an aptitude for problem-solving.
Strong written and verbal communication skills with a collaborative working style.
Familiarity with financial mathematics, models and statistics is desirable.
Job Benefits
Medical, dental, and vision coverage.
Employer 401(k) safe harbor and profit-sharing contributions.
Work/life programs such as flexible work arrangements, flexible paid time off, paid parental leave, employee assistance plan, commuter benefits, student loan repayment program, education reimbursement program.
Community involvement opportunities.
Onsite cafeteria.
Onsite fitness center.
Referral program.
Santa Fe is the capital of New Mexico. Founded in 1610 and nicknamed "The City Different," Santa Fe captures hearts and minds with its museums, restaurants, theater, opera, and adobe-style architecture. With an average of over 300 sunny days per year and picturesque landscape, it's no wonder that outdoor activities such as skiing and hiking in "The Land of Enchantment" attract visitors from around the world.
All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, national origin, disability, gender, gender identity or protected veteran status.
Data Scientist, Product Analytics
Data Science Internship Job 144 miles from Farmington
As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a wide-range of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem.Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.
**Required Skills:**
Data Scientist, Product Analytics Responsibilities:
1. Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches
2. Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses
3. Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends
4. Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations
5. Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions
**Minimum Qualifications:**
Minimum Qualifications:
6. Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent
7. 4+ years of work experience in analytics, data querying languages such as SQL, scripting languages such as Python, and/or statistical mathematical software such as R (minimum of 2 years with a Ph.D.)
8. 4+ years of experience solving analytical problems using quantitative approaches, understanding ecosystems, user behaviors & long-term product trends, and leading data-driven projects from definition to execution [including defining metrics, experiment, design, communicating actionable insights]
**Preferred Qualifications:**
Preferred Qualifications:
9. Master's or Ph.D. Degree in a quantitative field
**Public Compensation:**
$145,000/year to $204,000/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.
Data Management and Conversion
Data Science Internship Job 144 miles from Farmington
Delivers insights on potential areas of optimization, improvement, and growth. Partners with cross-functional teams to create coordinate data architecture strategies. Responsible for knowledge sharing of Data Analytics best practices to the broader company. Collaborates with business units and management to identify Key Performance Indicators (KPIs) for data capture and reporting across the business.
+ Work with the SI and technical and functional leads to provide advice and support to the JPMO on the development of data management plans for data migration.
+ Assist the JPMO with the establishment of a Data Management IPT and facilitate subsequent Data Management IPT activities.
+ Work with the SI and provide advice and support to the JPMO on the development of the high-level strategy for Data Management and Conversion that provides a roadmap for performing the migration of data from legacy systems to the new modernized system.
+ Assist in the establishment of Data Security and Management Policy, Processes, and Procedures.
+ Ensure compliance with all Data Security mandates (DHS and JPMO).
+ Attend data conversion meetings, review products, ensure all data anomalies are addressed before migration to the new system and that reconciliation between systems, ledgers, etc. are completed.
+ Attend all data management and conversion meetings. Provide meeting minutes, notes, briefs, etc. as required for stakeholders and management meetings.
+ Support the JPMO Data Management lead in the oversight and review of all data management plans and artifacts.
+ Review plans developed by the SI and support the implementation of data management, data cleansing, data dictionaries, data migration, data conversion, data archiving, backup and recovery plans, and products.
+ Review Component legacy system data and ensure an accurate understanding of the data elements, structures, and quality is recorded.
+ Setup staging environments for data cleansing and conversion activities.
+ Assist Components in preparing for migration of legacy data into a new integrated financial, procurement, and asset management system such as executing mock data conversions and cutover activities.
+ Support Departmental and Component level Business Intelligence (BI) and Data Warehouse (DW) efforts in conjunction with third-party BI/DW offerings.
+ Work with the Requirements IPT lead to identify Component reporting requirements.
+ Work with the JPMO and the SI to facilitate the design and development of report and query designs.
+ Work with the SI and Functional Testing lead and provide advice to the JPMO on the development of test scripts for reports and ensure the data is reported as expected.
+ Work with the third-party provider to resolve and report defects and to test the report until all issues are resolved.
+ Perform data mining and analysis.
+ Attend, facilitate, and take minutes for meetings, as needed/requested.
+ Act as project manager as needed for working groups.
**Minimum Qualifications**
+ Bachelor's Degree in Engineering, or a related scientific or technical discipline, or equivalent relevant experience
+ 5-10 years of overall work experience, 2+ years experience in the areas of data analytics, developing dashboards and data models
**Other Job Specific Skills**
+ Possesses and applies expertise on multiple complex work assignments. Assignments may be broad in nature, requiring originality and innovation in determining how to accomplish tasks.
+ Operates with appreciable latitude in developing methodology and presenting solutions to problems.
+ Contributes to deliverables and performance metrics where applicable.
+ Design strategies for enterprise database systems and set standards for operations, programming, and security.
+ Design and construct large relational databases.
+ Integrate new systems with existing warehouse structure and refine system performance and functionality.
+ Intermediate proficiency level with Atlassian/Confluence/Jira
+ Advanced proficiency level with Microsoft application skillset
**Compensation Ranges**
Compensation ranges for ASM Research positions vary depending on multiple factors; including but not limited to, location, skill set, level of education, certifications, client requirements, contract-specific affordability, government clearance and investigation level, and years of experience. The compensation displayed for this role is a general guideline based on these factors and is unique to each role. Monetary compensation is one component of ASM's overall compensation and benefits package for employees.
**EEO Requirements**
It is the policy of ASM that an individual's race, color, religion, sex, disability, age, sexual orientation or national origin are not and will not be considered in any personnel or management decisions. We affirm our commitment to these fundamental policies.
All recruiting, hiring, training, and promoting for all job classifications is done without regard to race, color, religion, sex, disability, or age. All decisions on employment are made to abide by the principle of equal employment.
Physical Requirements
The physical requirements described in "Knowledge, Skills and Abilities" above are representative of those which must be met by an employee to successfully perform the primary functions of this job. (For example, "light office duties' or "lifting up to 50 pounds" or "some travel" required.) Reasonable accommodations may be made to enable individuals with qualifying disabilities, who are otherwise qualified, to perform the primary functions.
**Disclaimer**
The preceding job description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job.
$69,700 - $83,000
EEO Requirements
It is the policy of ASM that an individual's race, color, religion, sex, disability, age, gender identity, veteran status, sexual orientation or national origin are not and will not be considered in any personnel or management decisions. We affirm our commitment to these fundamental policies.
All recruiting, hiring, training, and promoting for all job classifications is done without regard to race, color, religion, sex, veteran status, disability, gender identity, or age. All decisions on employment are made to abide by the principle of equal employment.
Mid-Level Data Scientist
Data Science Internship Job 142 miles from Farmington
Technomics is a growing employee-owned, decision analytics company that specializes in cost and economic analysis to facilitate
better decisions faster
. We enable a wide range of clients across the Federal government, from senior level policy makers to program managers, to
choose smartly, buy effectively and operate efficiently
.
We deliver practical, credible and defensible results offering actionable insights by applying data-driven and analytics-based approaches in combination with multidisciplinary talent, subject matter experts, and tangible and repeatable assets in the form of databases, models, approaches and techniques.
Our data scientists have the knowledge, skills, and initiative to deliver timely and innovative data management solutions to our clients. You will function as part of high-performing project team that is responsible for ensuring that organizations throughout the federal government are able to leverage their data to improve both their day-to-day operations and decision-making power. Our data scientists are responsible for shaping the future of analytics for clients by identifying new data sources, modeling techniques, and ways of leveraging that data.
Our employee-owners pride themselves on their ability to apply deep analytical rigor and innovative thought that assist clients in understanding and solving a myriad of challenging resource planning and management problems.
This position is based out of Albuquerque, NM.
Responsibilities
Develop a thorough understanding of the purpose of particular assignment, the overall scope, the required level of detail, the customer(s) of the eventual work product(s) and any other situational awareness that warrants consideration with guidance from Senior level analysts
Identify potential data sources, both within and outside of the host organization, and work with senior analysts and subject matter experts to devise a strategy for collection
Gain a thorough understanding of modeling techniques that can be used to solve client problems through exploratory analysis and client engagement
Prepare data for analysis via cleansing, normalization, and manipulation (either directly or supervising junior level analysts)
Develop the methodology or approach to address a particular problem. This could require use of quantitative techniques such as regression, optimization and simulation, etc.
Implement the methodology or approach to address a particular problem. This could require development of a custom model for use in applying the methodology to produce analytical results.
Collaborate with cross-functional teams of program and IT analysts, data engineers, and other project stakeholders to assess the viability of proposed models and methodologies
Prepare written documentation (e.g., technical reports, memoranda and presentations) describing the data and normalization techniques used, defend results produced and associated insights and recommendations
Verbally explain/defend in-process and completed work to colleagues, management and stakeholders in informal and formal settings
Continue to develop proficiency in a variety of software tools and scripting languages for use in applied analysis or for situational awareness
Train/guide less experienced team members
Lead and deliver projects by: developing project plans; leading technical performance; managing, developing and inspiring project staff; managing and reporting project technical and schedule performance; and managing customer and other stakeholder expectations
Review code and other technical products produced by more junior analysts and provide timely, effective feedback
Qualifications
Minimum of 4 years demonstrated quantitative analysis experience (data engineer, economist, data analyst, cost analyst, data scientist, actuary, investment analyst)
Minimum 4 years of experience working with a high-level programming language such as R, Python, SAS, Matlab
Experience developing closed form analytic tools and techniques, and application of descriptive and predictive analytics (scripts for dedicated applications, examples on Github a plus)
Intermediate knowledge of relational database design and applications, to include SQL
Significant experience with the data management lifecycle, to include data source identification, collection, cleansing and normalizations, and modeling
Minimum 2 years of experience creating professional visualizations to communicate advanced analyses to senior level stakeholders (using software such as Tableau or Power BI
Advanced MS Excel (Experience with VBA preferred but not required)
Success communicating effectively (i.e., clear, organized, succinct, knowledgeable and convincing) verbally and in writing
Success independently representing Business Support in substantive technical-related interactions with customers and other stakeholders
Success managing day-to-day customer relationships at peer customer levels
Interest in earning industry recognized certifications
Preferred Qualifications
Experience in a management consulting firm
Corporate experience using git productivity tools, including use of a collaborative environment such as GitHub or GitLab
Experience processing and cleaning data using R or Python
Applied experience in machine learning classification techniques
Experience with VBA in Microsoft Excel and Access
Experience with linear programming and optimization techniques
Familiarity with DoD weapon system acquisition process preferred, not required
We are an Equal Opportunity Employer. As an Equal Opportunity Employer, we do not discriminate on the basis of race, color, religion, national origin, sex, age, marital status, disability or veteran status.
Data Scientist
Data Science Internship Job In New Mexico
Your Title: Data Scientist
Our Department: Construction Strategy and Operations Team
What You Will Do
As a Data Scientist, you will play a critical role in analyzing and optimizing pricing strategies and evaluating the impact of process changes for our subscription products. You will be responsible for leveraging data to provide actionable insights that drive business decisions and enhance our subscription offerings. This role is ideal for a data scientist with some professional experience who is looking to make a significant impact on subscription-based product strategies. You will work closely with cross-functional teams to drive data-informed decisions that enhance customer value and company profitability.
Pricing Strategy:
Collaborate with cross-functional teams to develop and refine pricing strategies for new and existing subscription products.
Conduct in-depth data analysis to identify pricing sensitivities, elasticity, and customer segmentation.
Build predictive models to forecast demand, revenue, and customer churn under different pricing scenarios.
Develop and implement A/B testing frameworks to evaluate the impact of pricing changes on key metrics.
Process Optimization:
Analyze current processes to identify inefficiencies and bottlenecks.
Develop data-driven recommendations to streamline workflows and improve operational efficiency.
Implement data-driven solutions to automate tasks and reduce manual effort.
Monitor and measure the impact of process changes on key performance indicators.
Data Analysis and Modeling:
Clean, preprocess, and transform large and complex datasets.
Employ advanced statistical techniques and machine learning algorithms to extract meaningful insights.
Develop and validate predictive models to forecast future trends and make data-driven decisions.
Visualize data effectively to communicate findings to technical and non-technical audiences.
Stay up-to-date with industry trends and best practices in subscription-based pricing and analytics.
Create, maintain, and improve dashboards and visualizations using Domo and other BI tools to report on historical data and track real-time discounts, promos, strategic decisions and pricing performance.
Develop a keen understanding of business operations to identify opportunities for in-depth analysis and areas for improvement.
What Skills & Experience You Should Bring
Bachelor's or Master's in Data Science, Statistics, Computer Science, or a related quantitative field.
4+ years of professional experience in data science or a related field.
Proficiency in programming languages such as Python or R.
Comfortable working in dynamic and undefined environments, proactively identifying opportunities to support business goals and suggesting valuable initiatives to drive success.
Strong experience with data visualization tools (e.g., DOMO, Power BI )
Solid understanding of statistical concepts, machine learning, and predictive modeling and their application in business contexts
Experience working with large datasets and data manipulation tools (e.g., SQL).
Excellent attention to detail.
Familiarity with A/B testing methodologies and causal inference
Excellent problem-solving skills and ability to translate complex analyses into actionable insights
Proven ability to translate business questions into technical analyses and communicate results clearly and effectively across the organization.
Strong communication skills, with the ability to present complex data insights to non-technical stakeholders.
Ability to thrive in a fast-paced and sometimes ambiguous environment.
Preferred Skills
Experience in pricing analysis and strategy.
Background in subscription-based products or services.
Familiarity with A/B testing and experimental design.
Experience in Salesforce and DOMO would be a plus.
Knowledge of subscription business models and metrics (MRR, ACV, etc).
Understanding of finance metrics and concepts would be a plus
Trimble's Inclusiveness Commitment
We believe in celebrating our differences. That is why our diversity is our strength. To us, that means actively participating in opportunities to be inclusive. Diversity, Equity, and Inclusion have guided our current success while also moving our desire to improve. We actively seek to add members to our community who represent our customers and the places we live and work.
We have programs in place to make sure our people are seen, heard, and welcomed and most importantly that they know they belong, no matter who they are or where they are coming from.
Trimble's Privacy Policy
-
Pay Equity
-
Trimble provides the following compensation range and general description of other compensation and benefits that it in good faith believes it might pay and/or offer for this position. This compensation range is based on a full time schedule. Trimble reserves the right to ultimately pay more or less than the posted range and offer additional benefits and other compensation, depending on circumstances not related to an applicant's sex or other status protected by local, state, or federal law.
-
Hiring Range:
92750
-
122960
-
Bonus Eligible?
Yes
-
Trimble offers comprehensive core benefits that include Medical, Dental, Vision, Life, Disability, Time off plans and retirement plans. Most of our businesses also offer tax savings plans for health, dependent care and commuter expenses as well as Paid Parental Leave and Employee Stock Purchase Plan.
-
Trimble is proud to be an equal opportunity employer. We welcome and embrace our
candidates' diversity and take affirmative action to employ and advance individuals
without regard to race, color, sex, gender identity or expression, sexual orientation,
religion, age, physical or mental disability, veteran status, pregnancy (including
childbirth or related medical conditions), national origin, marital status, genetic
information, and all other legally protected characteristics. We forbid discrimination and
harassment in the workplace based on any protected status or characteristic. A criminal
history is not an automatic bar to employment with the Company, and we consider
qualified applicants consistent with applicable federal, state, and local law.
The Company is also committed to providing reasonable accommodations for
individuals with disabilities, and individuals with sincerely held religious beliefs in our job
application procedures. If you need assistance or an accommodation for your job, contact ********************
NLP & LLM Data Scientist - Healthcare & Life Sciences
Data Science Internship Job 144 miles from Farmington
Company: Norstella Employment Type: Full Time **Description** At Norstella, our mission is simple: to help our clients bring life-saving therapies to market quicker-and help patients in need.
Founded in 2022, but with history going back to 1939, Norstella unites best-in-class brands to help clients navigate the complexities at each step of the drug development life cycle -and get the right treatments to the right patients at the right time.
Each organization (Citeline, Evaluate, MMIT, Panalgo, The Dedham Group) delivers must-have answers for critical strategic and commercial decision-making. Together, via our market-leading brands, we help our clients:
+ Citeline - accelerate the drug development cycle
+ Evaluate - bring the right drugs to market
+ MMIT - identify barrier to patient access
+ Panalgo - turn data into insight faster
+ The Dedham Group - think strategically for specialty therapeutics
By combining the efforts of each organization under Norstella, we can offer an even wider breadth of expertise, cutting-edge data solutions and expert advisory services alongside advanced technologies such as real-world data, machine learning and predictive analytics.
As one of the largest global pharma intelligence solution providers, Norstella has a footprint across the globe with teams of experts delivering world class solutions in the USA, UK, The Netherlands, Japan, China and India.
** :**
Norstella Real World Data (RWD) is seeking a skilled NLP Data Scientist with clinical background with a focus on Language Models to join our AI & Life Sciences Solutions team. Your expertise in processing and understanding natural language data, along with your knowledge of Electronic Health Records (EHR) and laboratory reports analysis, will be instrumental in driving our data science initiatives and innovations, particularly in the development of rich multimodal real-world datasets to expedite RWD-driven drug development in pharma.
**Responsibilities:**
+ Employ and leverage NLP and open-source Large Language Models (LLM) such as LLama2, Mixtral, Qwen, BERT, etc., to extract, process, and interpret unstructured medical data from diverse sources like EHRs, medical notes, and laboratory reports.
+ Collaborate with clinical scientists and data scientists to create efficient NLP models for healthcare, exhibiting an understanding of both the technical and medical aspects of the data.
+ Conduct data cleaning, preprocessing, and validation to maintain the accuracy and reliability of insights gathered from NLP processes.
+ Validate and present data findings to stakeholders, exhibiting clear and effective communication skills.
**Qualifications:**
+ Master's or Ph.D. degree in Computational Biology, Computer Science, Data Science, Computational Linguistics, Machine Learning, or a related analytical field.
+ Deep understanding and direct experience (2+ years) in handling and interpreting either Electronic Health Records (EHR) and laboratory tests results or genetic test results is a must.
+ Proven experience (2+ years) in NLP with a strong knowledge of NLP techniques such as Named Entity Recognition (NER), text summarization, topic modeling, etc. and their applied use in healthcare.
+ Expert-level understanding and practical experience (1+ years) with open-source Large Language Models (Llama2/3, Mixtral etc.), e.g., prompt engineering, inference, and fine-tuning.
+ Proficient in Python and SQL, with strong experience in NLP libraries such as NLTK, spa Cy, Hugging face Transformers, and deep learning libraries such as PyTorch, TensorFlow.Familiarity with common data science and ML practices, e.g., version control systems, agile methodologies, and documentation.
+ Experience in working with AWS cloud environment and large databases (e.g., AWS redshift).
+ Experience in managing ML lifecycle using open-source tools (e.g., MLflow).Detail-oriented with strong analytical and problem-solving abilities.
+ Excellent verbal and written communication skills, with ability to present complex data to non-technical audience.
**Preferred Qualifications:**
+ Experience dealing with protected health information (PHI) and familiarity with healthcare-related data privacy laws such as HIPAA.
+ Familiarity with standard healthcare codes and terminologies such as ICD-10, CPT, LOINC, and SNOMED CT.
+ Experience in RAG (Retrieval-Augmented Generation) and vector store in the context of storing large volume of healthcare unstructured documents and querying those.
**Benefits:**
Medical and prescription drug benefits
Health savings accounts or flexible spending accounts
Dental plans and vision benefits
Basic life and AD&D Benefits
401k retirement plan
Short- and Long-Term Disability
Paid parental leave
Paid time off
principles for success at Norstella
**01: Bold, Passionate, Mission-First**
We have a lofty mission to Smooth Access to Life Saving Therapies and we will get there by being bold and passionate about the mission and our clients. Our clients and the mission in what we are trying to accomplish must be in the forefront of our minds in everything we do.
**02: Integrity, Truth, Reality**
We make promises that we can keep, and goals that push us to new heights. Our integrity offers us the opportunity to learn and improve by being honest about what works and what doesn't. By being true to the data and producing realistic metrics, we are able to create plans and resources to achieve our goals.
**03: Kindness, Empathy, Grace**
We will empathize with everyone's situation, provide positive and constructive feedback with kindness, and accept opportunities for improvement with grace and gratitude. We use this principle across the organization to collaborate and build lines of open communication.
**04: Resilience, Mettle, Perseverance**
We will persevere - even in difficult and challenging situations. Our ability to recover from missteps and failures in a positive way will help us to be successful in our mission.
**05: Humility, Gratitude, Learning**
We will be true learners by showing humility and gratitude in our work. We recognize that the smartest person in the room is the one who is always listening, learning, and willing to shift their thinking.
The expected base salary for this position ranges from $140,000 to $200,000. It is not typical for offers to be made at or near the top of the range. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, licensure or certifications obtained. Market and organizational factors are also considered. In addition to base salary and a competitive benefits package, successful candidates are eligible to receive a discretionary bonus.
_Norstella is an equal opportunities employer and does not discriminate on the grounds of gender, sexual orientation, marital or civil partner status, pregnancy or maternity, gender reassignment, race, color, nationality, ethnic or national origin, religion or belief, disability or age. Our ethos is to respect and value people's differences, to help everyone achieve more at work as well as in their personal lives so that they feel proud of the part they play in our success. We believe that all decisions about people at work should be based on the individual's abilities, skills, performance and behavior and our business requirements. Norstella operates a zero-tolerance policy to any form of discrimination, abuse or harassment._
_Sometimes the best opportunities are hidden by self-doubt. We disqualify ourselves before we have the opportunity to be considered. Regardless of where you came from, how you identify, or the path that led you here- you are welcome. If you read this job description and feel passion and excitement, we're just as excited about you._
Norstella is an equal opportunity employer. All job applicants will receive equal treatment regardless of race, creed, color, religion, alienage or national origin, ancestry, citizenship status, age, physical or mental disability or handicap, medical condition, sex (including pregnancy and pregnancy-related conditions), marital or domestic partner status, military or veteran status, gender, gender identity or expression, sexual orientation, genetic information, reproductive health decision making, or any other protected characteristic as established by federal, state, or local law.
Staff Data Scientist, Marketing Applied Sciences Team
Data Science Internship Job 144 miles from Farmington
This role is based remotely but if you live within a 50-mile radius of [Atlanta, Austin, Detroit, Warren, Milford or Mountain View], you are expected to report to that location three times a week, at minimum. **The Role** The Staff Data Scientist is an internal expert in methodology and leads audience activation modeling efforts, translating complex customer data into actionable marketing strategies and personalized customer experiences through machine learning modeling. This individual possesses deep technical expertise in statistics and machine learning, with a strong focus on their application in marketing targeting.
This individual will collaborate closely with stakeholders from GM's vehicle brands and the Performance Driven Marketing team to ensure business acceptance of proposed methods, conduct objective performance evaluations, and optimize audience activation to drive sales. You will be responsible for developing advanced marketing models, extracting valuable insights, and creating scalable solutions that identify high-return investment opportunities at the channel and tactic levels. Our team is focused on delivering forward-thinking, consumer-centric, and prescriptive solutions that enable GM to remain proactive and agile as we transition to electric vehicles (EVs).
**What You'll Do**
Staff Data Scientist will be responsible for:
+ Work on a cross-functional team to propose and implement high-impact, data-driven solutions to address business challenges across a variety of business units
+ Apply advanced data-driven modeling techniques to inform decision making and solve complex business problems
+ Create breakthrough solutions, performing exploratory and targeted data analyses
+ Undertake preprocessing of structured and unstructured data
+ Monitor and sustain model effectiveness
+ Present complex information using data visualization techniques
+ Work with diverse technical teams and provide data and analytical oversight to ensure project deliverables fulfill business needs and timing
+ Identify long-term technical innovations while continuously improving execution efficiency
+ Possessing contextual business knowledge and functional domain expertise in the advertising and media space, showing a proven ability of using data, analytics, and insights to add revenue and business-impacting value in this via audience selection and behavioral engagement
+ Exhibiting a perspective of constrained curiosity, asking why, and suggesting experimentation to drive incremental impact
+ Exhibiting the ability to tell a succinct, data-driven story in any forum and tailor delivery to a wide range of stakeholder levels, from analyst to senior executive
+ Ensuring a superior level of delivery quality at all levels of their organization through the creation of internal structures and extensible frameworks to manage accountability and develop staff
+ Mentoring junior data scientists on the team
**Your Skills & Abilities (Required Qualifications)**
+ Master's Degree or Ph.D. in Data Science, Computer Science, Statistics, Applied Mathematics, Operations Research, Marketing Science, or another quantitative field
+ Deep knowledge of Machine Learning and Statistics. Familiarity with Deep Learning algorithms is a plus
+ Proficient in writing scalable code using Python and SQL/Spark, with experience working with Spark/ML, scikit-learn, NumPy, Pandas, StatsModels, PyMC, TensorFlow, PyTorch, and related packages
+ Experience withcloud compute platforms such as Azure with Databricks experience being especially valuable
+ 10+ years of experience as a Data Scientist or in a related role,developing, deploying, and monitoring performance of large analytic data sets and machine learning based models
+ Desired expertise in marketing analytics and advanced methods such as: customer lifetime value, consumer choice (multinomial logit), time-series forecasting, hierarchical bayes, panel-data methods (fixed/random effects), censored/truncated regressions, selection models, non-random treatment effects, hazard /survival models, structural equation modeling, item response theory, latent class regression, media mix modeling (MMM), multi-touch attribution (MTA)
+ Prior experience with CRM, paid, earned, and owned media
+ Ability to prioritize and manage multiple tasks and projects at once without sacrificing quality
**Additional Job Description**
This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate.
A company vehicle will be provided for this role with successful completion of a Motor Vehicle Report review.
Compensation:
+ The expected base compensation for this role is: $160,200- $285,300. Actual base compensation within the identified range will vary based on factors relevant to the position.
+ **Bonus Potential:** An incentive pay program offers payouts based on company performance, job level, and individual performance.
+ **Benefits** : GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP (e.g., H-1B, TN, STEM OPT, etc.) NOW OR IN THE FUTURE.
\#LI-CC1
**About GM**
Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
**Why Join Us**
We aspire to be the most inclusive company in the world. We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Our Work Appropriately philosophy supports our foundation of inclusion and provides employees the flexibility to work where they can have the greatest impact on achieving our goals, dependent on role needs. Every day, we want every employee, no matter their background, ethnicity, preferences, or location, to feel they belong to one General Motors team.
**Benefits Overview**
The goal of the General Motors total rewards program is to support the health and well-being of you and your family. Our comprehensive compensation plan incudes, the following benefits, in addition to many others:
- Paid time off including vacation days, holidays, and parental leave for mothers, fathers and adoptive parents;
- Healthcare (including a triple tax advantaged health savings account and wellness incentive), dental, vision and life insurance plans to cover you and your family;
- Company and matching contributions to 401K savings plan to help you save for retirement;
- Global recognition program for peers and leaders to recognize and be recognized for results and behaviors that reflect our company values;
- Tuition assistance and student loan refinancing;
- Discount on GM vehicles for you, your family and friends.
**Diversity Information**
General Motors is committed to being a workplace that is not only free of discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that workforce diversity creates an environment in which our employees can thrive and develop better products for our customers. We understand and embrace the variety through which people gain experiences whether through professional, personal, educational, or volunteer opportunities. GM is proud to be an equal opportunity employer.
We encourage interested candidates to review the key responsibilities and qualifications and apply for any positions that match your skills and capabilities.
**Equal Employment Opportunity Statements**
GM is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. GM is committed to providing a work environment free from unlawful discrimination and advancing equal employment opportunities for all qualified individuals. As part of this commitment, all practices and decisions relating to terms and conditions of employment, including, but not limited to, recruiting, hiring, training, promotion, discipline, compensation, benefits, and termination of employment are made without regard to an individual's protected characteristics. For purposes of this policy, "protected characteristics" include an individual's actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression, sexual orientation, weight, height, marital status, military service and veteran status, physical or mental disability, protected medical condition as defined by applicable state or local law, genetic information, or any other characteristic protected by applicable federal, state or local laws and ordinances. If you need a reasonable accommodation to assist with your job search or application for employment, email us at Careers.Accommodations@GM.com or call us at ************. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
We are leading the change to make our world better, safer and more equitable for all through our actions and how we behave. Learn more about:
**Our Company (**************************************************
**Our Culture**
**How we hire (************************************************
Our diverse team of employees bring their collective passion for engineering, technology and design to deliver on our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion. We are looking for adventure-seekers and imaginative thought leaders to help us transform mobility.
**Explore our global location** **s**
The policy of General Motors is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Additionally, General Motors is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us at Careers.Accommodations@GM.com .In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
Summer 2025 - Business Analyst Intern
Data Science Internship Job 142 miles from Farmington
The Shamrock Students Professional Internship Program is an 11-week program focused on hands-on training in a variety of opportunities throughout the Shamrock Foods Company enterprise. As a Shamrock Student, you will be a part of a cohort of interns focused on real projects that impact the business. In addition to the work, you will do to support your department, you'll get to know your fellow interns through a variety of collaborative projects and events.
Program dates: May 19, 2025 to August 1, 2025
Essential Duties:
* Provide support for branch leadership team in an accurate and timely manner
* Build and maintain automated reports and dashboards using Power BI to track the key business metrics
* Identify trends and insights to support sales, finance and operations teams in optimizing business strategies
* Focus on process improvement through detailed data analysis that identifies issues and suggests solutions to business problems
* Collaborate with cross-functional teams to understand data needs, and provide actionable insights for process improvements
* Other duties as assigned
Qualifications:
* 1+ year(s) educational experience and currently pursuing a degree from an accredited college or university with a focus on Data Analytics, Business Management, Finance, or related studies
* Maintains a minimum GPA of 3.0
* Must live in or near Albuquerque, New Mexico
* Strong written and oral communication skills
* Strong sense of urgency and accountability
* Demonstrates expertise in Microsoft Office suite (Excel, Outlook, Word)
* Ability to learn and act in a fast-paced environment
* Effective task management
* High level of motivation and adaptability
* Great attitude and desire to learn and grow
Corporate Summary:
At Shamrock Foods Company, people come first - our associates, our customers, and the families we serve across the nation. A privately-held, family-owned and -operated Forbes 500 company, Shamrock is an innovator in the food industry and has been since being founded in Arizona in 1922.
Our Mission:
At Shamrock Foods Company, we live by our founding family's motto to 'treat associates like family and customers like friends.'
Why intern for us?
Shamrock Foods Company is committed to a program that goes beyond your typical internship experience, giving interns the opportunity to start their career path. We offer great training and growth for college students to help interns apply their education towards solving business problems and working on hands-on projects in a workplace environment. Our interns are more than a temporary associate; they become part of our family.
Equal Opportunity Employer
At Shamrock Foods Co all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, veteran status, sexual orientation, gender identity or any other basis protected by applicable law.
Full Stack Data Scientist
Data Science Internship Job 144 miles from Farmington
At Cardinal Health's Artificial Intelligence Center of Excellence (AI CoE), we're focused on using technology to improve healthcare. Our commitment to innovation, design, and a product-centric approach helps us create solutions that make a real difference.
We're a team of passionate individuals who thrive in a culture of collaboration and continuous learning. We leverage cutting-edge technology and data insights to solve complex problems, forge new business models, and create products that truly impact the lives of our customers.
As a Full Stack Data Scientist and a key member of our AI CoE, you'll play a pivotal role in driving this transformation. You'll work closely with business stakeholders to understand their needs and translate them into actionable data-driven solutions. You will be responsible for building and maintaining robust machine learning models and GenAI solutions, designing intuitive user interfaces, and ensuring seamless integration with our existing systems.
This role is looking for a highly skilled and versatile engineer who can bridge the gap between machine learning and front-end development. The ideal candidate will have a strong understanding of both areas and be able to apply their knowledge to build innovative and user-friendly applications.
**Responsibilities**
+ Develop intuitive and user-friendly web applications using modern front-end frameworks (e.g., React, Angular, Vue.js) to showcase and interact with your ML/GenAI solutions.
+ Strong understanding of React components, state management, and lifecycle methods.
+ Ability to build complex and performant user interfaces.
+ Develop and deploy Machine Learning (ML) models: Design, train, and optimize machine learning models for a variety of applications like forecasting, classification and categorization systems, and churn prediction.
+ Develop, integrate and maintain Generative AI (GenAI) solutions: Explore and implement GenAI technologies, like large language models (LLMs), to enhance existing applications or create new GenAI-based solutions. This includes working with RAG technologies, embedding models, and crafting effective prompts for LLMs. Ensure the reliable and scalable deployment; and support and maintenance of GenAI models in production environments.
+ Construct robust APIs: Design and implement RESTful APIs to integrate your ML models or GenAI solutions with other applications and systems within the organization.
+ Build and maintain end-to-end ML pipelines: Design, develop, and maintain robust and scalable ML pipelines, encompassing data ingestion, feature engineering, model training, deployment, and monitoring.
+ Ensure scalability and performance: Design and implement solutions to ensure that your ML and GenAI applications are scalable, efficient, and performant, even with large volumes of data and usage.
+ Create compelling data visualizations: Develop interactive and insightful visualizations to communicate the results of your data analysis and ML/GenAI models to stakeholders
+ Collaborate with cross-functional teams: Work closely with principal and senior data scientists, data engineers, business analysts, and product and project managers to ensure successful delivery of projects.
+ Stay current on the latest trends in AI: Actively seek out and experiment on new ML and GenAI technologies and approaches to enhance your skillset, and the performance and efficiency of your ML/GenAI models. This includes active participation in internal events like AI CodeJam.
**Qualifications**
+ Bachelor's degree in mathematics, Statistics, Engineering, Computer Science, other related field, or equivalent years of relevant work experience is preferred.
+ At least 4 years of experience as a Full Stack Machine Learning Engineer or similar role preferred
+ Experience including HTML, HTML5, CSS3 and JavaScript (React preferred), Angular, Vue.js, Python, Java, Node.js, Flask/Django, FastAPI, PostgreSQL.
+ Experience with popular React libraries and tools (e.g., Redux, React Router, Styled Components).
+ Experience in DevOps tools like Docker, Kubernetes, Airflow; version control using Git and CI/CD piplelines using Concourse
+ Knowledge of clinical domain and datasets.
+ Knowledge of REST, Apigee, Microservices preferred
+ Experience in Generative AI, RAG implementation, re-ranking, Large Language Models (LLMs), LangChain, LlamaIndex, Hugging Face, Vector databases, Embedding models, Prompting techniques.
+ Experience with Machine Learning and related technologies such as Jupiter Notebooks, RAG, NumPy, Pandas, Scikit-learn, Tensor-Flow, Pytorch, Supervised and Unsupervised learning, Deep learning, Model evaluation
+ Understanding of cloud data engineering and integration concepts including GCP, Vertex AI, Cloud functions, Compute Engine, Cloud storage.
+ Strong mathematical and statistical skills.
+ 2+ years in the Healthcare industry and knowledge of clinical data preferred.
+ Delivery experience with Google Cloud Platform preferred.
+ Agile development skills and experience preferred.
+ Experience designing and developing machine learning and deep learning solutions and systems.
+ Experience using statistical analysis to determine data modeling approach, training machine learning tests and experiments.
+ Experience possessing deep functional and technical understanding of the Machine Learning technologies (Google's Cloud Platform, custom and COTS-embedded) and provide prescriptive guidance on how these are leveraged within the Commercial Technologies and/or Business landscape.
+ Experience mining and analyzing large structured and unstructured datasets.
+ Experience identifying the data attributes that influence the outcome, define, and monitor metrics, create data narratives, and builds tools to drive decisions.
+ Experience in building end-to-end ML pipelines from data ingestion, feature engineering, model training, deploying and scaling the model in production
+ Experience in model training, model evaluation, model optimization, ML system architecture design, and scalable ML model deployment
+ Experience building large-scale batch and real-time data pipelines with data processing frameworks like Scio, Google Cloud Platform and the Apache Beam
+ Proficiency in Python and relevant libraries for machine learning such as scikit-learn and Pandas, as well as Jupyter Notebooks.
+ Experience in building solutions for AI/ML services and platforms with models in production, ML Ops, CI/CD automation of ML pipelines in a cloud-based environment e.g., (GCP)
+ Experience interacting with REST APIs and microservices
+ Familiarity with containerization technologies (e.g., Docker) and orchestration tools (e.g., Kubernetes) for scalable and efficient model deployment.
**What is expected of you and others at this level**
+ Applies advanced knowledge and understanding of concepts, principles, and technical capabilities to manage a wide variety of projects
+ Recommends new practices, processes, metrics, or models
+ Works on complex projects of large scope projects may have significant and long-term impact
+ Provides solutions which may set precedent
+ Collaborate with stakeholders for completion of new projects
**Anticipated salary range:** $93,500 - $133,600
**Bonus eligible:** No
**Benefits:** Cardinal Health offers a wide variety of benefits and programs to support health and well-being.
+ Medical, dental and vision coverage
+ Paid time off plan
+ Health savings account (HSA)
+ 401k savings plan
+ Access to wages before pay day with my FlexPay
+ Flexible spending accounts (FSAs)
+ Short- and long-term disability coverage
+ Work-Life resources
+ Paid parental leave
+ Healthy lifestyle programs
**Application window anticipated to close:** 1/26/2025 *if interested in opportunity, please submit application as soon as possible.
The salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidate's geographical location, relevant education, experience and skills and an evaluation of internal pay equity.
\#LI-Remote
\#LI-AP4
_Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply._
_Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal_ _Opportunity/Affirmative_ _Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law._
_To read and review this privacy notice click_ here (***************************************************************************************************************************
Summer 2025 - Business Analyst Intern
Data Science Internship Job 142 miles from Farmington
The Shamrock Students Professional Internship Program is an 11-week program focused on hands-on training in a variety of opportunities throughout the Shamrock Foods Company enterprise. As a Shamrock Student, you will be a part of a cohort of interns focused on real projects that impact the business. In addition to the work, you will do to support your department, you'll get to know your fellow interns through a variety of collaborative projects and events.
Program dates: May 19, 2025 to August 1, 2025
Essential Duties:
Provide support for branch leadership team in an accurate and timely manner
Build and maintain automated reports and dashboards using Power BI to track the key business metrics
Identify trends and insights to support sales, finance and operations teams in optimizing business strategies
Focus on process improvement through detailed data analysis that identifies issues and suggests solutions to business problems
Collaborate with cross-functional teams to understand data needs, and provide actionable insights for process improvements
Other duties as assigned
Qualifications:
1+ year(s) educational experience and currently pursuing a degree from an accredited college or university with a focus on Data Analytics, Business Management, Finance, or related studies
Maintains a minimum GPA of 3.0
Must live in or near Albuquerque, New Mexico
Strong written and oral communication skills
Strong sense of urgency and accountability
Demonstrates expertise in Microsoft Office suite (Excel, Outlook, Word)
Ability to learn and act in a fast-paced environment
Effective task management
High level of motivation and adaptability
Great attitude and desire to learn and grow
Corporate Summary:
At Shamrock Foods Company, people come first - our associates, our customers, and the families we serve across the nation. A privately-held, family-owned and -operated Forbes 500 company, Shamrock is an innovator in the food industry and has been since being founded in Arizona in 1922.
Our Mission:
At Shamrock Foods Company, we live by our founding family's motto to 'treat associates like family and customers like friends.'
Why intern for us?
Shamrock Foods Company is committed to a program that goes beyond your typical internship experience, giving interns the opportunity to start their career path. We offer great training and growth for college students to help interns apply their education towards solving business problems and working on hands-on projects in a workplace environment. Our interns are more than a temporary associate; they become part of our family.
Equal Opportunity Employer
At Shamrock Foods Co all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, veteran status, sexual orientation, gender identity or any other basis protected by applicable law.
Airport Operations Intern
Data Science Internship Job 43 miles from Farmington
Launch your career in airport operations at the Durango-La Plata County Airport (DRO)! This internship is designed for recent college graduates with a degree in Airport Management or a closely related field. Over the course of 26 weeks, you'll work full-time alongside the Operations Manager to gain hands-on experience in all aspects of airport operations and administration at a commercial service airport.
Essential Job Duties
In This Role, You Will Assist the Airport Operations Manager with the Following:
Conducting inspections of airfields, perimeters, security areas, fuel farms, parking lots, and other facilities to ensure compliance with airport regulations.
Overseeing public relations, marketing, air service development, and construction & planning projects.
Preparing and maintaining Federal Aviation Administration (FAA) documentation and other documents as assigned, including the Airport Certification Manual, Rules and Regulations Manual, Minimum Operating Standards.
Reviewing and revising lease agreements, contract documents, rules and regulations, and training programs.
Participating in snow removal, general grounds maintenance, and wildlife hazard management.
Enforcing regulations around secured areas, issuing Notices to Airmen (NOTAMs) as necessary.
Supervising ground transportation activities.
Planning and executing special events.
Minimum Qualifications
You Have:
Bachelor's degree in aviation management, airport management, or a related field.
Federal Aviation Administration (FAA) licensed pilot (preferred).
American Association of Airport Executives (AAAE) membership (preferred).
A valid state driver's license.
Knowledge of FAA Part 139 and Part 77 regulations, TSA Part 1542 security requirements, and all relevant state, federal, and local laws for operating a commercial air carrier airport.
Basic understanding of airport and approach lighting systems, radio navigational aids, and runway approaches.
Ability to operate two-way radio communication equipment for clear and concise communication with aircraft and the FAA, using correct terminology.
Skill in using tact, discretion, and independent judgment within established guidelines, while efficiently organizing tasks, setting priorities, meeting critical deadlines, and managing follow-ups with minimal direction.
Supplemental Information
What We Can Offer You:
The following perks are available for part-time and seasonal employees.
Free pass to the Durango Community Recreation Center and Chapman Hill Ice Rink and Ski Area
Free Transit pass
Eligibility to participate in the City's Annual Wellness Challenge and a chance to receive prizes and cash rewards
To view the full job description, click here.
Belong at the City of Durango:
We believe in creating an inclusive workforce that welcomes diversity of thoughts, viewpoints, and experiences.
The City of Durango is an Equal Opportunity Employer. We do not discriminate on the basis age 40 and over, color, disability, gender identity, genetic information, military or veteran status, national origin, race, religion, sex, sexual orientation or any other applicable status protected by state or local law. It is our intention that all qualified applicants be given equal opportunity and that selection decisions are based on job-related factors.
City of Durango's Indigenous Land Acknowledgement
Business Analyst Intern
Data Science Internship Job 142 miles from Farmington
Description & Requirements This role offers hands-on experience in supporting our Business Development teams to identify and engage with potential partners. This role will focus on providing research and analyzing small businesses and technology partners, including SBIR (Small Business Innovation Research) awardees, to help Maximus expand its partnerships and innovative solutions in the federal space.
Essential Duties and Responsibilities:
- Conduct business analysis to support the Business Development department.
- Support process improvements and project deliverables.
- Research potential market trends.
- Assist in special projects in the Business Development department.
- Assist with ad-hoc reporting and other tasks.
Maintain and update partnership database, ensuring accurate records of potential and existing partner interactions.
Assist in preparing reports, presentations, and briefing materials for internal stakeholders.
Minimum Requirements
- Currently enrolled in an accredited college or university and pursuing a college degree in a related field.
- Must have completed a minimum 2 years of coursework.
- Ability to perform comfortably in a fast-paced, deadline-oriented work environment.
- Skilled in standard computer applications and platforms such as Outlook and MS Office Suite, PowerPoint, and Excel.
- Excellent interpersonal communication, teamwork, and customer service skills.
- Demonstrated ability to juggle multiple priorities with superior attention to detail.
Strong research and analytical skills with an interest in government contracting and small business development.
Excellent communication and writing skills, with the ability to summarize findings clearly and concisely.
Proficiency in Microsoft Office (Excel, PowerPoint, Word) and ability to work with data.
EEO Statement
Active military service members, their spouses, and veteran candidates often embody the core competencies Maximus deems essential, and bring a resiliency and dependability that greatly enhances our workforce. We recognize your unique skills and experiences, and want to provide you with a career path that allows you to continue making a difference for our country. We're proud of our connections to organizations dedicated to serving veterans and their families. If you are transitioning from military to civilian life, have prior service, are a retired veteran or a member of the National Guard or Reserves, or a spouse of an active military service member, we have challenging and rewarding career opportunities available for you. A committed and diverse workforce is our most important resource. Maximus is an Affirmative Action/Equal Opportunity Employer. Maximus provides equal employment opportunities to all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disabled status.
Pay Transparency
Maximus compensation is based on various factors including but not limited to job location, a candidate's education, training, experience, expected quality and quantity of work, required travel (if any), external market and internal value analysis including seniority and merit systems, as well as internal pay alignment. Annual salary is just one component of Maximus's total compensation package. Other rewards may include short- and long-term incentives as well as program-specific awards. Additionally, Maximus provides a variety of benefits to employees, including health insurance coverage, life and disability insurance, a retirement savings plan, paid holidays and paid time off. Compensation ranges may differ based on contract value but will be commensurate with job duties and relevant work experience. An applicant's salary history will not be used in determining compensation. Maximus will comply with regulatory minimum wage rates and exempt salary thresholds in all instances.
Minimum Salary
$
22.00
Maximum Salary
$
26.00
Business Accounting Internship
Data Science Internship Job 162 miles from Farmington
Align is the industry leader and innovator in medical devices which focuses on revolutionizing the dental and orthodontic industry. Align, the makers of Invisalign is looking for a FP&A Clerk intern at Belen, Heredia. This internship offers a unique opportunity for hands-on experience in supporting financial projects within a dynamic and collaborative environment. Interns will gain exposure to accounting and finance administration concepts applied in a practical project setting.
In this internship, you will…
* Project Support: Assist in executing FP&A-related assignments by conducting research, collecting, and analyzing financial data. Help in budgeting, forecasting, and financial modeling activities.
* Support the FP&A Team in the planning, coordination, and execution of financial planning projects. This includes assisting in the preparation of variance analysis and management reports.
Requirements
In this internship, you'll need …
Typically:
* Advanced college student or recent graduated of accounting and finance.
* Bilingual proficiency in English and Spanish with strong written and verbal communication skills in both languages.
* Schedule availability to allocate +24 hours a week on internship project.
* NOTE: Internship could be only performed face to face [no Work from Home enabled for interns]
See job description
Analyst Intern
Data Science Internship Job 147 miles from Farmington
Televon is a technology service organization providing administration and cost optimization services to small and medium sized organizations. Leveraging Televon, clients drive down IT expenses, enhance IT team capabilities, and improve their organizations productivity. We deliver on these promises by becoming experts in the tools, services and providers that a client utilizes to deliver IT capabilities. This includes data and internet services, wireless carriers, and SaaS systems (e.g., Microsoft).
As the an Analyst Intern, your role will focus on helping the Televon Operations team gather client information, organize and categorize that information and address client needs. Depending on your skills and capabilities, you may take on additional responsibilities including working directly with clients on service changes and implementations, reviewing client service accounts, and improving Televon operational systems and processes.
You will report directly to the Director of Operations, but will work closely with all team members, including the President of the Organization. All work is performed through a computer or over the phone. This is no requirement for travel or being on site in a physical office.
RequirementsTelevon is an Analytics company. We analyze data to help clients make better technology business decisions. This means you don't need to be a computer guru or coder. What you will need to be successful as a Analyst Intern is:
The ability to work 100% of your day at a desk in a relatively quiet place (home office, library, quiet coffee shop, etc.).
Comfort working with data and information in a computer. If you are pretty good with math and like computers you will do well.
Good phone and email etiquette and a pleasant working style. We are remote company, which means we have to build relationships through our technology, both internally with team members and externally with our clients.
Excellent attention to detail.
An excitement to learn new things, take on new tasks, and grow professionally and personally.
An inclusive and team perspective towards those you work with, both within Televon and outside of our organization.
In order to be considered for this role you will need the following:
Ability to pass a background check
High school diploma and some college credits (an Associates Degree or higher is preferred)
Strong computer skills (working knowledge of Microsoft Excel is preferred)
Excellent written and verbal communication skills (as demonstrated by your resume and phone interview)
BenefitsTelevon is committed to empowering team members to be successful in both their professional and personal lives. As a part-time position, Televon provides the following benefits:
A living wage of $16/hour or more depending on candidate skills and experience
The ability to start your professional career prior to graduating college
A career path starting as a Client Success Analyst and growing to a Client Consultant.
Televon is dedicated to equal employment opportunities and fair labor practices. Televon provides equal employment opportunities to all individuals based on job-related qualifications, and the ability to perform a job without regard to race, color, gender, gender identity, gender expression, religious creed, marital status, age, national origin, ancestry, genetic information, legally protected medical condition, veteran status, sexual orientation, or on any other basis made unlawful by federal, state or local laws. It is our policy to maintain a non-discriminatory environment free from intimidation, harassment or bias based upon these grounds
Data Scientist, Operations Research
Data Science Internship Job 144 miles from Farmington
**_What Data Science contributes to Cardinal Health_** The Data and Analytics Function oversees the analytics life-cycle in order to identify, analyze and present relevant insights that drive business decisions and anticipate opportunities to achieve a competitive advantage. This function manages analytic data platforms, the access, design and implementation of reporting/business intelligence solutions, and the application of advanced quantitative modeling. Data Science applies base, scientific methodologies from various disciplines, techniques and tools that extracts knowledge and insight from data to solve complex business problems on large data sets, integrating multiple systems.
**_Department/Team Overview_**
We are looking for a Data Scientist, Operations Research Analyst to join our Decision Science Solutions (DS2) team. Our mission is to improve our pharmaceutical supply chain's performance to better service our pharmacy customers, so that they can focus on their patients. The DS2 team consists of Supply Chain Data Scientists, Operations Research Analysts, Data Analysts, and Data Engineers. We work cross-functionally to solve problems leveraging a variety of skillsets and perspectives to achieve the best outcomes. We perform analyses, recommend solutions, and build products to enable better decision making in the following areas:
+ Distribution center network design and capacity planning
+ Facility layout and design; warehouse capacity and utilization
+ Warehouse process improvement
+ Labor management and automation
+ Inventory management: stocking strategies and replenishment policies
+ Transportation planning: first mile, middle mile, and final mile
+ Sales and operations planning (resource management in response to demand changes)
**_Responsibilities_**
As a Data Scientist in Supply Chain Operations, you will apply your knowledge of business processes, systems, data, and analytical tools to explore and identify root causes of problems. You will forecast future demand, build optimization and simulation models, and communicate actionable insights. You will work with cross-functional project teams to ideate, develop, and recommend solutions. Specific responsibilities are to:
+ Listen to clients and ask questions to clearly define business problems.
+ Perform exploratory analysis to determine root causes of problems and confirm/disprove hypotheses.
+ Develop predictive models to forecast future volumes that will drive capacity/resource needs.
+ Develop customer and product segmentation models and design our supply chain to support differentiated services.
+ Build optimization and simulation models to recommend capacity investments, resource plans, policy changes, and process changes to improve supply chain performance.
+ Develop prescriptive models using 3rd party optimization/simulation software and custom-build models.
+ Recommend solutions. Summarize the financial and operational impact of the recommendation and pros/cons of alternatives considered.
+ Work with Data Engineers to create data models for analyses.
**_Qualifications_**
+ 2-4 years of experience, preferred
+ Bachelor's degree in a quantitative field, or equivalent work experience, preferred
+ MS/MBA with focus in Data Science, Operations Research, Industrial Engineering, or Statistics preferred
+ Demonstrated ability to apply Data Science and Operations Research techniques to logistics and supply chain management problems preferred
+ Experience with Structured Query Language (SQL) and working with databases preferred
+ Experience with data analysis tools such as R, Python, SQL, Alteryx, Tableau, and SAS preferred
+ Experience with Strategic Network Design, Simulation (e.g., AnyLogic), or Mathematical Programming (e.g., CPLEX) software preferred
+ Proven ability to work as part of a team as the key analytical resource
+ Excellent communication skills with an ability to explain quantitative analysis in simple business terms
+ Intellectual curiosity, humility, genuine respect and desire to help others
+ Bias for action and passion for driving change
+ Ability to travel up to 5%
**_What is expected of you and others at this level_**
+ Applies comprehensive knowledge and a thorough understanding of concepts, principles, and technical capabilities to perform varied tasks and projects
+ May contribute to the development of policies and procedures
+ Works on complex projects of large scope
+ Develops technical solutions to a wide range of difficult problems
+ Solutions are innovative and consistent with organization objectives
+ Completes work; independently receives general guidance on new projects
+ Work reviewed for purpose of meeting objectives
+ May act as a mentor to less experienced colleagues
**Anticipated salary range:** $93,500 - $133,600
**Bonus eligible:** No
**Benefits:** Cardinal Health offers a wide variety of benefits and programs to support health and well-being.
+ Medical, dental and vision coverage
+ Paid time off plan
+ Health savings account (HSA)
+ 401k savings plan
+ Access to wages before pay day with my FlexPay
+ Flexible spending accounts (FSAs)
+ Short- and long-term disability coverage
+ Work-Life resources
+ Paid parental leave
+ Healthy lifestyle programs
**Application window anticipated to close:** 4/18/2025 *if interested in opportunity, please submit application as soon as possible.
The salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidate's geographical location, relevant education, experience and skills and an evaluation of internal pay equity.
_Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply._
_Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal_ _Opportunity/Affirmative_ _Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law._
_To read and review this privacy notice click_ here (***************************************************************************************************************************
Business Analyst Intern
Data Science Internship Job 313 miles from Farmington
Description & Requirements This role offers hands-on experience in supporting our Business Development teams to identify and engage with potential partners. This role will focus on providing research and analyzing small businesses and technology partners, including SBIR (Small Business Innovation Research) awardees, to help Maximus expand its partnerships and innovative solutions in the federal space.
Essential Duties and Responsibilities:
- Conduct business analysis to support the Business Development department.
- Support process improvements and project deliverables.
- Research potential market trends.
- Assist in special projects in the Business Development department.
- Assist with ad-hoc reporting and other tasks.
Maintain and update partnership database, ensuring accurate records of potential and existing partner interactions.
Assist in preparing reports, presentations, and briefing materials for internal stakeholders.
Minimum Requirements
- Currently enrolled in an accredited college or university and pursuing a college degree in a related field.
- Must have completed a minimum 2 years of coursework.
- Ability to perform comfortably in a fast-paced, deadline-oriented work environment.
- Skilled in standard computer applications and platforms such as Outlook and MS Office Suite, PowerPoint, and Excel.
- Excellent interpersonal communication, teamwork, and customer service skills.
- Demonstrated ability to juggle multiple priorities with superior attention to detail.
Strong research and analytical skills with an interest in government contracting and small business development.
Excellent communication and writing skills, with the ability to summarize findings clearly and concisely.
Proficiency in Microsoft Office (Excel, PowerPoint, Word) and ability to work with data.
EEO Statement
Active military service members, their spouses, and veteran candidates often embody the core competencies Maximus deems essential, and bring a resiliency and dependability that greatly enhances our workforce. We recognize your unique skills and experiences, and want to provide you with a career path that allows you to continue making a difference for our country. We're proud of our connections to organizations dedicated to serving veterans and their families. If you are transitioning from military to civilian life, have prior service, are a retired veteran or a member of the National Guard or Reserves, or a spouse of an active military service member, we have challenging and rewarding career opportunities available for you. A committed and diverse workforce is our most important resource. Maximus is an Affirmative Action/Equal Opportunity Employer. Maximus provides equal employment opportunities to all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disabled status.
Pay Transparency
Maximus compensation is based on various factors including but not limited to job location, a candidate's education, training, experience, expected quality and quantity of work, required travel (if any), external market and internal value analysis including seniority and merit systems, as well as internal pay alignment. Annual salary is just one component of Maximus's total compensation package. Other rewards may include short- and long-term incentives as well as program-specific awards. Additionally, Maximus provides a variety of benefits to employees, including health insurance coverage, life and disability insurance, a retirement savings plan, paid holidays and paid time off. Compensation ranges may differ based on contract value but will be commensurate with job duties and relevant work experience. An applicant's salary history will not be used in determining compensation. Maximus will comply with regulatory minimum wage rates and exempt salary thresholds in all instances.
Minimum Salary
$
22.00
Maximum Salary
$
26.00