Data Science Internship Jobs in Keizer, OR

Must Haves: 3-5 years of experience within data analytics Strong experience with Python and SQL Experience with Tableau or Power BI Experience with stakeholder management Ability to work between technical and non-technical teams Plusses: Willingness to learn data bricks Day to day: Every month create a new forecast Gathering input from stakeholders - what are the planned levers in the network, understand business changes, etc Working back with offshore data science team to review outputs and do checks on it as they will build it Once forecast is released, answering q's for the stakeholders, creating read outs for leadership, etc other ad hoc projects

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 challenges. We've partnered with industry-leaders in almost every sector-and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That's why we're committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people 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 emailing accommodation-request_************* or by calling *************** in the United States. 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.

The buildings that make up the landscape of our daily lives seem like permanent fixtures, fastened to a time and place. But what if that didn't have to be true? What if our built environment - where we live, learn, play, and conduct business - carried us forward instead? Our Buildings practice keeps people at its heart, recognizing that our shared journey forward is shaped by the meaningful and responsive places we design. From iconic designs to monumental groundbreakings, join us to bring transformational building solutions to life. Every day we apply our expertise, creativity, and passion to propel communities into the future-join us! Kick-start your career at an organization that is proud to be a home for people committed to making a difference. You will have an opportunity to learn your craft, work on a variety of projects that range from thousands to multimillions, develop relationships with industry leaders and stay inspired every day through practical consulting practices. Don't miss out on an opportunity to further your career and have a positive impact on your community. Apply today! Our Building Specialty Services (BSS) group is one of the fastest growing service offerings at our organization that includes a diverse mix of professionals with practical design, field, and industry research and product development expertise. This group is able to seek the best projects with the best clients because they deliver expertise that empowers designers to create high performing buildings without compromising budget or function. We value technical growth, entrepreneurial spirit, work-life balance and an environment that supports the development and mentoring of our staff. We are constantly expanding and seeking ambitious, committed individuals that want to excel through challenging opportunities and projects that will allow them to achieve their career goals. Our focus on our people, culture and capabilities allows us to make a difference for our clients and the communities we serve. Your Responsibilities + Assist with project document reviews (drawings, specifications, shop drawings, material submittals, etc.). + Attend pre-construction meetings and document discussions. + Assist with review and report on project mock-ups. + Perform periodic site visits and utilize a site visit reporting system to identify and update action items. + Assist in project field performance testing to confirm building enclosure performance (water, air leakage, infrared testing, etc.). + Assist in project task management and coordination. + Participate in continuing education. + Perform various office related tasks. Qualifications Education and Experience + Pursuing a degree in Engineering, Construction Management, Architecture or related field. + Organizational skills with the ability to effectively prioritize tasks on multiple projects. + Ability to work in a team environment. + Strong customer service commitment. + Excellent communication and documentation skills. + Professional attitude and commitment to succeed + Persistence and good work ethic + General understanding of Building Science principles or Building Envelope components is a plus. + Valid driver's license and a clean MVR. _This description is not a comprehensive listing of activities, duties or responsibilities that may be required of the employee and other duties, responsibilities and activities may be assigned or may be changed at any time with or without notice._ Typically, office environment includes working with computers and remaining sedentary for long periods of time. Field work may include exposure to the elements including inclement weather. Stantec is a place where the best and brightest come to build on each other's talents, do exciting work, and make an impact on the world around us. Join us and redefine your personal best. Benefits Summary: Regular full-time and part-time employees have access to medical, dental, and vision plans, a wellness program, health saving accounts, flexible spending accounts, 401(k) plan, employee stock purchase program, life and accidental death & dismemberment (AD&D) insurance, short-term/long-term disability plans, emergency travel benefits, tuition reimbursement, professional membership fee coverage and paid family leave. Regular full-time and part-time employees will receive ten paid holidays in each calendar year. In addition, employees will be eligible to accrue vacation between 10 and 20 days per year and eligible for paid sick leave (and if more generous, in accordance with state and local law). Temporary/casual employees have access to 401(k) plans, employee stock purchase program, and paid leave, in accordance with state and local law. _The benefits information listed above may not apply to union positions because benefits for such positions are governed by applicable collective bargaining agreements._ Primary Location : United States-Oregon-Portland Organization : BC-2804 Buildings-US West BSS Employee Status : Regular Job Level : Entry Level Travel : No Schedule : Full-time Job Posting : Feb 18, 2025, 8:40:06 AM Req ID: 250000JM Stantec provides equal employment opportunities to all qualified employees and applicants for future and current employment and prohibit discrimination on the grounds of race, color, religion, sex, national origin, age, marital status, genetic information, disability, protected veteran status, sexual orientation, gender identity or gender expression. We prohibit discrimination in decisions concerning recruitment, hiring, referral, promotion, compensation, fringe benefits, job training, terminations or any other condition of employment. Stantec is in compliance with local, state and federal laws and regulations and ensures equitable opportunities in all aspects of employment. EEO including Disability/Protected Veterans

Northwest Human Services is a non-profit leader in providing advocacy, quality healthcare and social services in Marion and Polk counties since 1970. We are a mission focused organization providing compassionate and professional medical, dental, psychiatry, mental health, and wraparound services for those in our community who need it most - uninsured individuals, families, the homeless, and migrant workers. As a Community Health Center we value a culture of equity, diverse perspectives, and life experiences. Our organization embraces innovation, collaboration, and work-life harmony. HEALTHCARE DATA ANALYST Location: West Salem Clinic, 1233 Edgewater Street NW, Salem OR 97304 (Not a remote position) Job Status: Full-time, Monday - Friday Salary Range: DOE: $27.10, $33.90, $40.70 YOUR ROLE: This position is responsible for producing clinical and operational business intelligence (BI) from many complex data sources, using various analytic methods. The Healthcare Data Analyst provides guidance and advice regarding the availability and validity of data to answer questions regarding organizational and provider performance. The Healthcare Data Analyst provides interpretation of trends and drivers of performance and evaluates the effect of improvement projects. SPECIFIC DUTIES Conduct routine and exploratory analyses to assess performance and evaluate programs and projects. Act as an internal consultant to identify opportunities for improvement and inform strategic initiatives. Collaborate with stakeholders to understand their data needs and provide actionable insights to support their objectives. Utilize advanced analytical techniques to uncover drivers, correlations, historical trends, and predictive insights. Ensure data integrity and accuracy by performing regular quality checks and audits, gathering data from various sources, and verifying completeness. Develop and deliver business intelligence (BI) reports to support decision-making, assist leaders in interpreting dashboards and reports, and create innovative data visualizations to facilitate understanding of key issues. QUALIFICATIONS Bachelor's degree in Business Information Systems, Computer Science, Data Analytics, or related field with coursework in quantitative analysis 3+ years of analysis and reporting experience in an ambulatory, primary care medical group, or community health center environment. Knowledge and experience with SQL, Power BI, MS Fabric, or similar analytics automation platform. Knowledge and experience using statistical analysis Knowledge of healthcare data sources, concepts, and metrics SUMMARY OF BENEFITS: Our Agency strives to provide a benefits program that is comprehensive and competitive within our industry. Competitive Salary Comprehensive Health Plans: Dental and Vision Flex Spending Account Group Life: Short-Term & Long-Term Disability 100% paid by employer 403(b) retirement plan with 3% employer match 10 hours of monthly Paid Time Off based on FTE 7½ paid holidays each year + 2 paid floating holiday Continuing Education Plan Employee Healthy Living Program - Gym Membership & Smoking Cessation Northwest Human Services sites are eligible for various Provider Incentive Programs through the Oregon Office of Rural Health and National Health Service Corps loan repayment and scholar programs as well as the Rural Practitioner Tax Cred. For more information check out the Office of Rural Health, National health Service Corps, and Public Service Loan Forgiveness websites. NWHS sites have a Primary Care HPSA Score of 18, Dental score of 19, and a Mental Health score of 22. TO APPLY: If you are interested in joining a team that makes a difference in the lives of many, apply online at: Employment (northwesthumanservices.org) For more information, contact the HR/Recruiting Department at: ********************** | ************ All candidates who receive a written offer of employment will be required to undergo a criminal records check. Equal Opportunity Employer | We celebrate diversity and are committed to creating an inclusive environment for all employees.

Meta's products are designed to bring people closer together and make it easier for them to share information, ideas, and experiences. We are hiring experienced Data Scientist across a variety of our product areas including Facebook, Instagram, Monetization, Integrity, Gen AI, Messenger, Reality Labs, Whatsapp, and others!As a Data Scientist, you will collaborate on a wide array of product and technical problems with a wide-range of cross-functional partners across Product, Engineering, Research, Data Engineering, 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 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 (Technical Leadership) 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. Understand and identify opportunities to more responsibly leverage cutting edge technology. 5. Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations. 6. Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions. 7. Intellectual curiosity and drive, decisiveness, with ambiguity and complexity. **Minimum Qualifications:** Minimum Qualifications: 8. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. 9. 8+ years of work experience leading analytics work in IC capacity, working collaboratively with Engineering and cross-functional partners, and guiding data-influenced product planning, prioritization and strategy development. 10. Experience working effectively with multiple stakeholders and cross-functional teams, including Engineering, PM/TPM, Analytics and Finance. 11. Experience framing and communication skills. **Preferred Qualifications:** Preferred Qualifications: 12. Masters or Ph.D. Degree in a quantitative field. 13. Experience with predictive modeling, machine learning, and experimentation/causal inference methods. **Public Compensation:** $206,000/year to $281,000/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.

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.

Current employees: Please apply through the employee portal to be considered for this opportunity. Pay Range: $15.95 - $30.00 Hourly Department: Health Department Job Type: Intern Exemption Status: United States of America (Non-Exempt) Closing Date (Open Until Filled if No Date Specified): April 15, 2025 The Opportunity: Health Data Analytics Team Analyst Internship College to County Intern 2025 - Health Department Multiple Positions (two) Pay Rate: $24 per hour Job Type: Temporary College Intern Duration: Summer 2025 - Starting in June - 12 weeks Hours: 32 - 40 hours a week Telework: Hybrid Building Physical Location: Gladys McCoy Headquarters, 619 NW 6th Avenue, Portland, OR 97209 Does This Position Require Driving a County Vehicle? If so, please explain why and frequency: No TriMet Passes are available if transportation to County facilities is required. Eligibility requirements and more details found on our College to County website . What Does the Health Data Analytics Team Do? HDAT is the Health Department's data development and analytic team, nested in the Division of Operations. HDAT specializes in SQL development, SSRS reports, dashboard design, data visualization, and business intelligence. We work on enterprise level dataset management, business logic maintenance, and respond to requests for long term automation solutions for manual and ad hoc reporting needs from all Divisions in the Health Department. The Team develops expertise in collaboratively transforming healthcare data into meaningful insights, with a specific focus on dashboard development. Internship Description & Responsibilities: Participate in various phases of a planned training and evaluation internship program. Perform duties that help the student learn policy, procedures, guidelines and standards for successful work performance. Assist in preparing project reports, progress summaries, spreadsheets, general letters and other material. Assist in promoting positive public relations and customer service for various programs, services, and activities. Attend and participate in staff meetings, trainings, and workshops which provide for an incremental awareness and general knowledge of programs and current practices. Connect with other analysts and developers in divisions across the Multnomah County Health Department. Explore data analytic processes and development platforms. Learning Outcomes: Internships are inherently learning experiences for students and a description of the expected learning outcomes shows candidates how they will benefit from the experience. Data Manipulation and Analysis Skills: Gain proficiency in using tools like Power BI and Tableau to extract, clean, and analyze health-related datasets then visualize and communicate complex health data effectively for decision-making at the division and department levels. Healthcare Domain Knowledge: Acquire a better understanding of healthcare systems, terminology, and regulations while fostering the ability to interpret and work with diverse types of health data. Explore Electronic Health Records (EHRs) and understand how these systems receive data from external data partners. Through hands-on experience with MS SQL Studio, you will contribute to maintaining and developing business logic for the Department's reporting datasets, ensuring data accuracy and relevance. Application of Data Privacy and Security Protocols: Gain hands-on experience in implementing and adhering to data privacy regulations (such as HIPAA) and security protocols specific to the Department regarding health data. You will develop an awareness of the ethical considerations surrounding health information, ensuring the responsible handling and protection of sensitive data throughout the data development and analysis process. Education and Minimum Qualifications: Candidates should have completed or enrolled in a college/university academic institution. Interns promote a culture of respect, inclusiveness, and appreciation of diverse perspectives, backgrounds, and values. Link to Equity and Empowerment Lens The candidate will have relevant Technical Knowledge: Proficiency in Data Visualization Tools: Hands-on experience or coursework in using data visualization tools such as Power BI or Tableau with emphasis on the importance of creating visualizations that are accessible and inclusive, considering diverse audiences with varying levels of health literacy and cultural backgrounds. Database Management Skills: A solid understanding of database management, especially if familiar with MS SQL Studio and who appreciate the significance of accurate and representative healthcare data, considering the diverse patient populations served by the healthcare system. Programming and Scripting Skills: Candidates will adapt the programming and scripting skills criterion to the specific tools of the Health Department and have experience or coursework in programming languages relevant to health data development so the candidate can contribute to creating equitable, unbiased analyses. The candidate will have a genuine Interest in Healthcare Data: Healthcare Domain Knowledge: Demonstrate a genuine interest in healthcare and possess foundational knowledge of healthcare systems, terminologies, and regulations while valuing cultural competence in healthcare, understanding the impact of cultural diversity on healthcare disparities, outcomes. Ethical Considerations: Show awareness and understanding of the ethical considerations surrounding health information and the importance of an ethical framework that respects cultural differences while prioritizing equity, fairness, and cultural sensitivity in data handling practices. Problem-Solving Orientation: Possess curiosity and a passion about addressing health disparities through a problem-solving mindset, especially in the context of healthcare data challenges and promoting health equity through data-driven solutions. Diversity and Inclusion: At Multnomah County, we don't just accept difference; we value it and support it to create a culture of dignity and respect for our employees. We are proud to be an Equal Opportunity Employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran or protected veteran status, genetic information and other legally protected characteristics. The EEO Know Your Rights poster is available for your reference. Multnomah County is a VEVRAA Federal Contractor. We request priority protected veteran referrals. Veterans' Preference: Under Oregon Law, qualifying veterans may apply for veterans' preference. Review our veterans' preference page for details about eligibility and how to apply. Accommodation under the Americans with Disabilities Act: We gladly provide reasonable accommodation to anyone whose specific disability prevents them from completing an application or participating in this recruitment process. Please contact the recruiter below in advance to request assistance. Individuals with hearing or speech impairments may contact the recruiter through the Telecommunications Relay Service by dialing 711. Questions? Recruiter: Cole Whitehurst Email: ************************* Phone: **************** Application information may be used throughout the entire selection process. This process is subject to change without notice. Disclaimer: This announcement is intended as a general descriptive recruitment guide and is subject to change. It does not constitute either an expressed or implied contract. Job Profile: 8007 - College Intern

Overall Responsibilities: Share responsibility with a team of colleagues and parents to honor the mission: to eliminate the prolific racial achievement and opportunity gaps by cultivating confident, creative and compassionate leaders; Practice the values of KairosPDX in professional conduct and daily interactions: respect, responsibility, honesty, excellence and service to community Incorporate the beliefs of KairosPDX in all approaches and instruction Every child is uniquely capable, innately curious and inherently creative, Character and agency are essential to achievement and are developed through relationships and service to others, A multi- cultural context delivers a strong sense of self and is a requirement for participation in our global society, Children must be supported in the context of their families; Support multicultural practice and inquiry-based approaches that are: Actively anti-racist - confronting bias in all of its forms, Education for social justice - acknowledging history and studying the present to make informed decisions regarding a more equitable future, Pervasive- Examining practices in all levels of school culture and organization, Personal -Beginning with the necessary consideration of self as a cultural being, Critical Pedagogy- Pursuing multiple perspectives, anticipating contradictions and challenging assumptions, Empowering- Providing children the ego strength to challenge racist societal views, Helping children think deeply about themselves and others. Primary Responsibilities: Collaborate with the school's students, staff, and community to improve academic success for students; Coordinate the school site implementation of the Title 1 program; Function as the staff Title 1 resource person; Stay current with new compliance, content, and information in a rapidly changing environment; Monitor the academic progress of Title 1 students; Support culturally responsive, data-informed planning and instruction as a developing skill in teachers PreSchool-5; Monitor, collect, and analyze professional learning and adult growth data; Develop data reports and executive summaries of findings in the following organizational data sets (both qualitative and quantitative); adult professional development data, leader work sample data, cultural inventory data, rubric ratings, and other data as assigned; Work with various staff to implement internal training to support KairosPDX's mission; Work with leadership to analyze data(quantitative and qualitative) as a part of the feedback cycle for individual teachers and the whole school strategy; Hold student outcomes, aspirations, and involvement at the center of plans aimed to increase student (cultural, academic, emotional, and social) growth and achievement; Collaborate with instruction team members to create strategies and interventions for classroom-wide use; Curate resources to customize the curriculum for individual classrooms; Participate in external Title 1 meetings, coaching meetings, leadership team meetings and inquiry team meetings; Monitor and compile teacher data for SIT meetings to ensure that educators are adequately prepared to present to their leaders. Monitor SIT intervention data to ensure that follow-up meetings are being conducted as scheduled. Collect and maintain demographic data for CAS partners to support grant reporting requirements. Monitor SIT intervention data to assess the effectiveness of various interventions. Maintain a 'learner' orientation in partner and team interactions, and contribute to the development of a successful 'continuous improvement organization'; Complete all reporting requirements as mandated by the district, state, federal, and educational agencies (i.e. Title 1, assessments, behavioral data); Participate in the development of Individualized Programs for students; Collect, summarize, and coordinate data collection of leader behavior, and adult attendance; Collaborate with the improvement leadership team in facilitating established school culture and values; Collaborate with staff to gather data and information for publications, i.e. content for spotlight on classroom features; Provide data to inform the development and implementation of accommodations and intervention plans for adult interventions and plans; Promote a positive, caring climate for learning; deal sensitively and fairly with persons from diverse cultural backgrounds; and communicate effectively with students, staff, and parents; As needed, provide direct student support: Supervise students during recess, nutrition beaks, transitions, lunch, and other non-instructional times; Support school-wide assessments. Additional Responsibilities: Participate in continuous improvement practices including observation, reflection, and collaboration; Participate in professional development (meetings, training and/or workshops) to facilitate the growth of each student, staff member and the organization overall; Attend several KairosPDX staff and family events: Work hours may include evening and weekend activities as needed; Perform other related duties as needed; Please note this job description is not designed to cover or contain a comprehensive listing of all activities, duties, or responsibilities that are required for this position. Duties, responsibilities, and activities may change or be assigned with or without notice.

The Data Analyst is an integral part of the Data Team at NEEA, serving as a subject matter expert in data management, conducting data and analytical activities for a variety of program teams, and supporting continuous improvement of data processes. The Data Analyst will partner with senior team members to scope and implement data acquisition and data integrity projects. They will conduct QA activities and work to ensure data assets are clean, housed securely and cataloged to support access and analysis. The Data Analyst will research and vet new data sources to evaluate value to NEEA programs and organizational goals. They will conduct analysis, create reports, visualizations and build processes to support data product development for internal audiences, market actors, and other NEEA stakeholders. Their work will drive market insights and support business decisions. This position is based in the Portland, OR metro area, with a hybrid work location. We are looking for candidates who can meet the requirement of working at least 2 days per week onsite at NEEA's office location. Finalists must have eligibility to work in the US as NEEA is not able to provide VISA sponsorship or have remote work outside of the US. Salary range: $75,000 - $85,000, exempt * Salary is based on the applicants Experience, Knowledge, Skills, and Abilities. The Typical Day May Include… * Implementing data validation and QA/QC processes to ensure integrity of datasets. * Building Market Intelligence Reports using Tableau, Power BI and other reporting tools. * Developing documentation and providing support for business partners to interpret key datasets. * Building analytical tools to streamline data processes. * Conducting analysis to understand efficiency trends and categorize products by efficiency. Supervisory Responsibilities: This role does not have any direct reports. However, there may be some leadership opportunities while partnering with external vendors, contractors, etc. What Are You Good At? The right person for this job has strong technical knowledge and analytical skills. They are organized and value attention to detail. Successful candidates will have strong time management and communication skills, reporting regularly to project stakeholders on progress, risks, and outcomes. They enjoy taking ownership of projects, understand high level goals, and deliver quality solutions. They enjoy mining data sets to discover trends and insights, partnering with business teams to connect data and analysis to business needs. They are comfortable working on multiple projects and managing prioritization conversations. Your Experience, Education, and Skills: * Bachelor's Degree in Business, Computer Science, Information Systems or related field. * Minimum 3 years' experience in a data focused or analytical role working with cross functional teams. * Strong communication skills and attention to detail * Experience with analytic and visualization tools such as Tableau or Power BI. * Experience querying data and knowledge of data models and relationships. * Experience with SQL/Python/R a plus * Experience in HVAC, energy efficiency, or resource conservation a plus. * An equivalent combination of education, experience and training that would provide the knowledge, skills, and abilities required for the successful performance of the essential job duties will also be considered. * Ability to multi-task and be proactive in a complex environment. * Experience implementing data management best practices to support, data integrity, usability and security. Highlights of NEEA's Benefits: * 90% of medical/dental premiums paid by NEEA, including for dependents * Employer funded Health Savings Account * 136 hours of PTO/year * Automatic 6% retirement contribution with an additional 2% matching * Flexible work environment, including hybrid work location and 9/80 schedule options * Professional development opportunities About NEEA The Northwest Energy Efficiency Alliance (NEEA) is an alliance of more than 140 electric and natural gas utilities and energy efficiency organizations working on behalf of Northwest energy consumers to increase the adoption of energy-efficient products services and practices. Since 1997, the region has achieved the equivalent to enough energy to power more than 700,000 Northwest homes each year. NEEA welcomes individuals from all backgrounds and fields of expertise, with or without previous experience in the energy industry. Follow this link to our website and learn more about the organization. NEEA is an Equal Opportunity Employer

Procom is a leading provider of professional IT services and staffing to businesses and governments in Canada. With revenues over $500 million, the Branham Group has recognized Procom as the 3rd largest professional services firm in Canada and is now the largest “Canadian-Owned” IT staffing/consulting company. Procom's areas of staffing expertise include: • Application Development • Project Management • Quality Assurance • Business/Systems Analysis • Datawarehouse & Business Intelligence • Infrastructure & Network Services • Risk Management & Compliance • Business Continuity & Disaster Recovery • Security & Privacy Specialties• Contract Staffing (Staff Augmentation) • Permanent Placement (Staff Augmentation) • ICAP (Contractor Payroll) • Flextrack (Vendor Management System) Job Description Data Analyst On behalf of our Client, Procom Services is searching for a Data Analyst for a contract opportunity in Hillsboro, OR. Data Analyst Job Details Activities could include but is not limited to the following: • Analysis of data to find patterns, • Development of applications for data gathering and analysis, • Developing related business processes • Establishing performance indicators. • Writing procedures and documentation, • Reviewing and documenting business and functional requirements, • Participating in physical inventory audits • Software development, coding and scripting • Web design and Multimedia programmer • Quantitative research • Unstructured data analysis • Natural language processing • Equipment utilization analysis • Supply/Demand analysis • Inventory level optimization • Supply management and procurement • Measuring and tracking efficiency indicators Data Analyst Mandatory Skills • Experience analyzing large data sets, structuring data based on patterns, commonalities, etc..., and be able to summarize that data for decision making. • Experience working on cross functional teams Experience with the following: • Information science • Signal processing • Data mining • Data warehousing • Performance computing • Big Data • Data extraction and visualization • Business process analysis: process and workflow efficiency • Six Sigma training or experience • Lean manufacturing techniques • Inventory scheduling systems • Developing SQL queries • JMP • Excel • MS Visio Data Analyst Start Date ASAP Data Analyst Assignment Length 7 months "Please note that we are not able to work with candidates on H1B Visas or candidates represented by third parties." Additional Information All your information will be kept confidential according to EEO guidelines. Please send your resume in Word format only.

Let's do great things, together! About Moda Founded in Oregon in 1955, Moda is proud to be a company of real people committed to quality. Today, like then, we're focused on building a better future for healthcare. That starts by offering outstanding coverage to our members, compassionate support to our community and comprehensive benefits to our employees. It keeps going by connecting with neighbors to create healthy spaces and places, together. Moda values diversity and inclusion in our workplace. We aim to demonstrate our commitment to diversity through all our business practices and invite applications from candidates that share our commitment to this diversity. Our diverse experiences and perspectives help us become a stronger organization. Let's be better together. Job Summary: Provider Data Analysts conduct analysis to support contract negotiations with medical providers. The analyst uses claims data, as well as other data sources, to model the impact of various contract terms. Functions include the use of analytic tools to pull data from Moda's data warehouse, analysis that converts the raw data into useful information, and analytic summaries that communicate the information to the department's customers. This is a FT WFH role. Pay Range $61,877 - $77,364 annually (depending on experience). *Actual pay is based on qualifications. Applicants who do not exceed the minimum qualifications will only be eligible for the low end of the pay range. Please fill out an application on our company page, linked below, to be considered for this position. ************************** GK=27746398&refresh=true Benefits: Medical, Dental, Vision, Pharmacy, Life, & Disability 401K- Matching FSA Employee Assistance Program PTO and Company Paid Holidays Primary Functions: Under general supervision, provide analysis and recommendations in support of Professional Relation's contracting efforts Develop tools to model contract terms and the impact of moving a provider to new contract terms Develop standard reports as defined by Professional Relations to manage provider networks. Work closely with Professional Relations to define these reports Prepare special requests made from various areas for provider's information Assist in the development and implementation of provider scorecards, provider profiles and other tools to help manage medical provider networks Assist in the development of provider metrics to support consumer-driven healthcare initiatives Provide input on data elements that should be made available and reviewed for quality in support of provider analysis Create and maintain documentation of the processes developed for provider analysis Audit contract terms using Facets configuration files; research and analyze healthcare claims to determine if contract terms were configured correctly Act as an internal consultant to the provider contracting team, providing advice on fee schedules, impacts and potential outcomes of various contract terms, healthcare industry trends and other information, providing written or verbal presentation of information, as needed May provide peer review, guidance or expertise to less experienced analysts Required Skills & Experience: Bachelor's degree required; master's in healthcare administration or business administration is preferred Three to five years of experience in the health insurance, healthcare provider or public health industry Strong statistical, analytical, and problem-solving skills Experience with data analysis tools such as SAS, SQL, decision support systems, business intelligence tools and/or Microsoft Access Experience with healthcare billing or claims data Knowledge of reimbursement concepts and methodologies, financial analysis, contracting and contract negotiations Advanced Microsoft Excel skills and proficiency with all Microsoft Office products Strong verbal, written and interpersonal communication skills with the ability to tailor the type and level of communication to the intended audience Must be able to work independently on complex projects and be flexible to changes in priorities and changing workload Strong ability to work collaboratively as part of a team Maintain confidentiality and project a professional business image Contact with Others & Working Conditions: Extensive computer and keyboard work. Fluctuating workflow with deadlines that may require work in excess of 37.5 hours. Internally, primarily with the provider contracting team, occasionally with Moda actuaries and other departments Together, we can be more. We can be better. Moda Health seeks to allow equal employment opportunities for all qualified persons without regard to race, religion, color, age, sex, sexual orientation, national origin, marital status, disability, veteran status or any other status protected by law. This is applicable to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absences, compensation, and training. For more information regarding accommodations please direct your questions to Kristy Nehler via our ***************************** email.

We are looking for an experienced and innovative Data Scientist to join our team. In this role, you will apply advanced statistical and machine learning techniques to solve complex business problems and derive insights from large datasets. The ideal candidate will have a strong foundation in data science, programming, and data visualization, and a passion for making data-driven decisions that drive business success. Key Responsibilities: Develop and implement machine learning models to solve business problems. Perform exploratory data analysis (EDA) to identify trends, correlations, and actionable insights. Create predictive models and algorithms using statistical and machine learning techniques. Design and maintain data pipelines and workflows to ensure efficient data processing. Optimize models and algorithms for improved performance and scalability. Continuously monitor and refine models to ensure accuracy and relevance over time. Qualifications: Bachelor's or Masters degree in Data Science, Computer Science, Mathematics, Statistics, or a related field. Proven experience in data science, with a strong understanding of machine learning, statistics, and data analysis techniques. Proficiency in programming languages such as Python, R, or similar. Strong knowledge of SQL and database management. Experience building and deploying machine learning models in production environments. Excellent problem-solving skills and ability to work independently or as part of a team. Excellent communication skills with the ability to present complex data insights to stakeholders. Eligibility Requirements: To be considered for this role, applicants must be able to provide proof of U.S. citizenship as a condition of employment. Eligible to work across all U.S. states without the need for employer sponsorship. Ability to work independently and as part of a team. If you are passionate about data science, love tackling complex challenges, and want to contribute to impactful, data driven solutions, we encourage you to apply. How to Apply: Please submit your resume and a cover letter highlighting your experience and motivation for applying. We look forward to hearing from you

Procom is a leading provider of professional IT services and staffing to businesses and governments in Canada. With revenues over $500 million, the Branham Group has recognized Procom as the 3rd largest professional services firm in Canada and is now the largest “Canadian-Owned” IT staffing/consulting company. Procom's areas of staffing expertise include: • Application Development • Project Management • Quality Assurance • Business/Systems Analysis • Datawarehouse & Business Intelligence • Infrastructure & Network Services • Risk Management & Compliance • Business Continuity & Disaster Recovery • Security & Privacy Specialties• Contract Staffing (Staff Augmentation) • Permanent Placement (Staff Augmentation) • ICAP (Contractor Payroll) • Flextrack (Vendor Management System) Job Description Demonstrate analytical and debugging skills. Should be able to examine data patterns to identify performance issues and improvement opportunities. Must be meticulous and careful, maintain detailed logs of day-to-day work, provide accurate, well-written reports, and develop and share BKMs with other team members. Should be able to debug and instrument kernel, system libraries and driver code and be experienced in using performance analysis tools such as Oprofile, VTune, and similar Linux tools. Qualifications Expertise in Android framework and corresponding SDK, Linux Kernel, Dalvik and associated JIT compiler optimization techniques, and strong familiarity with x86 microarchitecture and code generation/assembly language. Should be able to debug and instrument kernel, system libraries and driver code and be experienced in using performance analysis tools such as Oprofile, VTune, and similar Linux tools. Additional InformationPLEASE NOTE THAT WE ARE NOT ABLE TO WORK WITH CANDIDATES ON H1B VISAS OR CANDIDATES REPRESENTED BY THIRD PARTIES.

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.

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 (***************************************************************************************************************************

HP is the world's leading personal systems and printing company. We create technology that makes life better for everyone, everywhere. Our innovation springs from a team of passionate, talented, and curious individuals, each collaborating and contributing their own perspectives, knowledge, and experience to advance the way the world works and lives. We are looking for visionaries, with a passion for learning, to join our Strategic Planning and Modelling (SPaM) Data Science team. Our team members are tasked with evaluating supply chain investment and improvement opportunities, generating strategic business recommendations, and creating next-generation predictive and prescriptive analytical model deployments. We provide technical and thought leadership as we partner with senior executives to set strategic direction and drive innovation in our global supply chain. HP's SPaM team draws upon a 35-year history of success in supply chain innovation, enjoys a flexible work schedule, and invests in our continued success through formal training and mentorship. Join SPaM, if pioneering data-based innovations to solve business challenges for HP sounds like fun to you! Responsibilities * Pair with SPaM team members and collaborate with cross-functional teams to frame business challenges, structure analytical approaches, gather key data, evaluate alternative solutions, and present well-supported conclusions to management * Develop and diffuse innovations in inventory management, working capital optimization, network design, forecasting, complexity reduction, product planning, manufacturing, distribution, and related areas * Effectively tell stories with data using visualization tools/methods to demonstrate insight, impact, and business value * Build, deploy, and support innovative predictive and prescriptive analytic solutions at scale * Use proven MOC techniques to ensure smooth adoption of new solutions * Maintain proficiency within the data science and supply chain management domains by keeping up with technology advancements Education and Experience Required * MS/PhD in a business analytics field (i.e. Industrial Engineering, Management Science, Operations Research, Statistics, Data Science) or MBA with Supply Chain or Operations concentration * Operational experience in one of the following: network design, inventory management, planning, forecasting, procurement, logistics, warranty, product quality, product variety management, or similar supply chain domain area * 10+ years experience Knowledge and Skills * Applied experience with machine learning and optimization on large datasets * Proficient with Python, SQL, GitHub Co-Pilot, ChatGPT, PowerBI, Excel * Experience with generative-AI * Passion for data science & delivering data-driven outcomes * Demonstrated innovation across the supply chain domains (Plan, Source, Make, Deliver) * Expertise with inventory optimization math and deployment of the mathematical formulas into a business process * Demonstrated practical experience in an operational environment * Experience implementing and handing off operational analytical solutions to business users * Demonstrated ability to deal well with ambiguity and work collaboratively in a fast-pace environment * Excellent problem solver * Demonstrated ability to communicate concisely with diplomacy, credibility, and confidence * Experience with data visualization and data presentation in a clear and effective manner * Experience leading, collaborating with, and delivering results in cross-functional teams * Familiarity with statistics, forecasting, simulation, advanced data visualization, spreadsheet modelling * A desire to be a part of the HP team with a commitment to build upon our brand that is synonymous with innovation, trust, reliability, and sustainability The base pay range for this role is $154,000 to $237,150 annually with additional opportunities for pay in the form of bonus and/or equity (applies to US candidates only). Pay varies by work location, job-related knowledge, skills, and experience. Benefits: HP offers a comprehensive benefits package for this position, including: * Health insurance * Dental insurance * Vision insurance * Long term/short term disability insurance * Employee assistance program * Flexible spending account * Life insurance * Generous time off policies, including; * 4-12 weeks fully paid parental leave based on tenure * 11 paid holidays * Additional flexible paid vacation and sick leave (US benefits overview) The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law.

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. A minimum of 6 years of work experience in analytics (minimum of 4 years with a Ph.D.) 7. Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience 8. Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R) **Preferred Qualifications:** Preferred Qualifications: 9. Master's or Ph.D. Degree in a quantitative field **Public Compensation:** $173,000/year to $242,000/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.

A client who is the largest footwear retailer headquartered in Beaverton, OR is hiring for a Data Scientist to join their team. You will work on a variety of projects that support demand and operational planning for Supply Chain. These include supporting operational forecasting products, ad hoc analytical support to answer key business questions and creating data visualizations. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to ******************** . To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: *************************************************** . Skills and Requirements - 3-5 years of experience as a data scientist with Machine Learning - Expert at python - experience with full end to end process - Experience with Databricks - Strong experience with SQL - Experience with Tableau or Power BI - Experience managing stakeholders - Ability to work between technical and non-technical teams - Experience working with very large data sets - Experience within Supply Chain null We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion,sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military oruniformed service member status, or any other status or characteristic protected by applicable laws, regulations, andordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to ********************.

HP is the world's leading personal systems and printing company. We create technology that makes life better for everyone, everywhere. Our innovation springs from a team of passionate, talented, and curious individuals, each collaborating and contributing their own perspectives, knowledge, and experience to advance the way the world works and lives. We are looking for visionaries, with a passion for learning, to join our Strategic Planning and Modelling (SPaM) Data Science team. Our team members are tasked with evaluating supply chain investment and improvement opportunities, generating strategic business recommendations, and creating next-generation predictive and prescriptive analytical model deployments. We provide technical and thought leadership as we partner with senior executives to set strategic direction and drive innovation in our global supply chain. HP's SPaM team draws upon a 35-year history of success in supply chain innovation, enjoys a flexible work schedule, and invests in our continued success through formal training and mentorship. Join SPaM, if pioneering data-based innovations to solve business challenges for HP sounds like fun to you! Responsibilities * Pair with SPaM team members and collaborate with cross-functional teams to frame business challenges, structure analytical approaches, gather key data, evaluate alternative solutions, and present well-supported conclusions to management * Develop and diffuse innovations in inventory management, working capital optimization, network design, forecasting, complexity reduction, product planning, manufacturing, distribution, and related areas * Effectively tell stories with data using visualization tools/methods to demonstrate insight, impact, and business value * Build, deploy, and support innovative predictive and prescriptive analytic solutions at scale * Use proven MOC techniques to ensure smooth adoption of new solutions * Maintain proficiency within the data science and supply chain management domains by keeping up with technology advancements Education and Experience Required * MS/PhD in a business analytics field (i.e. Industrial Engineering, Management Science, Operations Research, Statistics, Data Science) or MBA with Supply Chain or Operations concentration * Operational experience in one of the following: network design, inventory management, planning, forecasting, procurement, logistics, warranty, product quality, product variety management, or similar supply chain domain area * 7-10 years experience Knowledge and Skills * Applied experience with machine learning and optimization on large datasets * Proficient with Python, SQL, GitHub Co-Pilot, ChatGPT, PowerBI, Excel * Experience with generative-AI * Passion for data science & delivering data-driven outcomes * Demonstrated innovation across the supply chain domains (Plan, Source, Make, Deliver) * Expertise with inventory optimization math and deployment of the mathematical formulas into a business process * Demonstrated practical experience in an operational environment * Experience implementing and handing off operational analytical solutions to business users * Demonstrated ability to deal well with ambiguity and work collaboratively in a fast-pace environment * Excellent problem solver * Demonstrated ability to communicate concisely with diplomacy, credibility, and confidence * Experience with data visualization and data presentation in a clear and effective manner * Experience leading, collaborating with, and delivering results in cross-functional teams * Familiarity with statistics, forecasting, simulation, advanced data visualization, spreadsheet modelling * A desire to be a part of the HP team with a commitment to build upon our brand that is synonymous with innovation, trust, reliability, and sustainability The base pay range for this role is $136,850 to $210,750 annually with additional opportunities for pay in the form of bonus and/or equity (applies to US candidates only). Pay varies by work location, job-related knowledge, skills, and experience. Benefits: HP offers a comprehensive benefits package for this position, including: * Health insurance * Dental insurance * Vision insurance * Long term/short term disability insurance * Employee assistance program * Flexible spending account * Life insurance * Generous time off policies, including; * 4-12 weeks fully paid parental leave based on tenure * 11 paid holidays * Additional flexible paid vacation and sick leave (US benefits overview) The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law.