Data Science Internship Jobs in Anchorage, AK

Data Analyst I Hiring Range $65,769.60 to $87,692.80 Pay Range $65,769.60 to $98,654.40 Data Analyst II Hiring Range $75,296.00 to $100,401.60 Pay Range $75,296.00 to $112,964.80 Summary of Job Responsibilties: The Southcentral Foundation (SCF) Data Analyst is responsible for transforming data to actionable information through data mining, analysis, and statistical reporting of data to support operations, research, and regulatory requirements using structured query language (SQL). May also be responsible for user training/support, application support and automation of business processes. Qualifications: SCF programs are established to serve a primary population comprised of Alaska Native people who are affiliated with Cook Inlet Region, Inc. (CIRI) and Alaska Native and American Indian people within SCF's geographical service area. Employees should have a thorough understanding of the cultures and the needs of this population. Such knowledge is critical to ensure the achievement of SCF's vision of a Native Community that enjoys physical, mental, emotional, and spiritual wellness, and mission of working together with the Native Community to achieve wellness through health and related services: 1. Bachelor's degree in information management, statistics, finance and/or healthcare related field; or combination of equivalent training/education and experience. 2. Two years' experience in producing data visualizations using a visualization software, data mining, extraction, analysis, and reporting using structured query language, analyzer, data and report writing tools such as MS Query Analyzer/SQL Enterprise Manager, R, PL/SQL, Aqua Data, Crystal Reports or SQL Reporting Services. Additional Qualifications for Data Analyst II: 1. Two (2) years of demonstrated experience at the Data Analyst I level OR demonstrated proficiency as a Data Analyst I at SCF. Native Preference: Under P.L. 93-638, as amended, the company pursues a policy of Native preference in hiring, contracting and training. SCF Human Resources must receive certification before applicants receive preference. Employee Health Requirements: Compliance with our Employee Health Procedure is a condition of SCF employment. You are required to agree that you will comply with all job-related employee health screening and immunizations prior to your first day of employment. Jobs designated as a Health Care Personnel (HCP) position, requires that you have documentation that you have completed the following immunizations prior to your first day of employment: MMR (Measles, Mumps and Rubella, Varicella (Chicken Pox), Hepatitis B, Influenza, T-dap (Tetanus - Diphtheria - Pertussis), and COVID-19 vaccination is required.

Data Analyst I Hiring Range $65,769.60 to $87,692.80 Pay Range $65,769.60 to $98,654.40 Data Analyst II Hiring Range $75,296.00 to $100,401.60 Pay Range $75,296.00 to $112,964.80 Summary of Job Responsibilties: The Southcentral Foundation (SCF) Data Analyst is responsible for transforming data to actionable information through data mining, analysis, and statistical reporting of data to support operations, research, and regulatory requirements using structured query language (SQL). May also be responsible for user training/support, application support and automation of business processes. Qualifications: SCF programs are established to serve a primary population comprised of Alaska Native people who are affiliated with Cook Inlet Region, Inc. (CIRI) and Alaska Native and American Indian people within SCF's geographical service area. Employees should have a thorough understanding of the cultures and the needs of this population. Such knowledge is critical to ensure the achievement of SCF's vision of a Native Community that enjoys physical, mental, emotional, and spiritual wellness, and mission of working together with the Native Community to achieve wellness through health and related services: 1. Bachelor's degree in information management, statistics, finance and/or healthcare related field; or combination of equivalent training/education and experience. 2. Two years' experience in producing data visualizations using a visualization software, data mining, extraction, analysis, and reporting using structured query language, analyzer, data and report writing tools such as MS Query Analyzer/SQL Enterprise Manager, R, PL/SQL, Aqua Data, Crystal Reports or SQL Reporting Services. Additional Qualifications for Data Analyst II: 1. Two (2) years of demonstrated experience at the Data Analyst I level OR demonstrated proficiency as a Data Analyst I at SCF. Native Preference: Under P.L. 93-638, as amended, the company pursues a policy of Native preference in hiring, contracting and training. SCF Human Resources must receive certification before applicants receive preference. Employee Health Requirements: Compliance with our Employee Health Procedure is a condition of SCF employment. You are required to agree that you will comply with all job-related employee health screening and immunizations prior to your first day of employment. Jobs designated as a Health Care Personnel (HCP) position, requires that you have documentation that you have completed the following immunizations prior to your first day of employment: MMR (Measles, Mumps and Rubella, Varicella (Chicken Pox), Hepatitis B, Influenza, T-dap (Tetanus - Diphtheria - Pertussis), and COVID-19 vaccination is required.

Join us. Do work that Matters! MobilizeGreen and U.S. Fish and Wildlife Service (FWS) seeks conservation-minded Program/Data Analyst Fellow to serve in the Anchorage Inspection Office under the Office of Law Enforcement in Anchorage, AK. The position will focus on database management, database analysis, and program coordination for the beach-found marine mammal walrus ivory database and tagging program. As a Fellow, you will work in a beautiful setting, learning maintenance, project management, equipment use, and leadership development. Through mentorship and training, Fellows will gain the opportunity to launch their career with a non-competitive or through other hiring authorities once they successfully complete their fellowship. Location: Anchorage, AK Term: 26 weeks (6 months), Full-Time (40 hours per week), on-site position. The fellowship eligible for extension up to 3 years (36 months). Anticipated Start Date: End of June 2025 Duty Station: Anchorage Inspection Office Benefits: Hands on learning and job training experience Paid orientation and travel to orientation Mentorship for career and professional development Weekly living allowance ($800 per week) Housing Relocation assistance (if applicable) Health insurance option Certificate of non-competitive hiring eligibility (with successful completion of fellowship). Other authorities may apply. Position Duties: Maintaining and updating the database of certificate information for beach-found walrus hard parts (such as tusks, bones, and other items) to ensure data accuracy and accessibility. Analyzing database trends, creating reports to identify gaps or areas for improvement in the program, and organizing and digitizing records to ensure compliance and accessibility. Supporting the coordination of the tagging program, which requires non-native Alaskans to tag their beach-found walrus hard parts and receive a certificate of legal ownership. Fellow will assist in training new taggers at various refuge offices to address the decline in available taggers in recent years. They will also collaborate with refuge staff to raise awareness about the tagging program, develop and distribute informational materials, and provide administrative assistance such as data entry and correspondence. Assisting with cataloging seized evidence and its disposal into various databases. Performs duties related to the Service's responsibility to distribute eagles to registered tribal members including retrieving, collecting, shipping, and cataloging reported and received live and dead eagles. Assisting with databases associated with the US Fish and Wildlife's Office of Law Enforcement Wildlife Inspection Program, including an analysis of targeting results associated with wildlife trafficking and recommendations for improvement. Performs trainee level analyses associated with data collection and data management. Assignments will involve trainee level tasks in the following areas: Tagging of beach found walrus and sea otter skulls by non-Alaska natives as required for legal ownership. Entering beach found marine mammal beach found records into a database. Ensuring quality control on legacy records entered into the beach found database. Assisting with training US Fish and Wildlife Service employees in tagging walrus tusk and sea otter skulls. Assisting in training US Fish and Wildlife Service employees in entering records created from tagging activities into the database. Analysis and application of risk targeting information and identifying trends to each inspection situation. Assisting in the collecting, shipping, and cataloging of reported and received dead eagles in support of the distribution of eagle parts to tribes for ceremonial purposes. Potentially assist with site visits for training marine mammal tagging and database usage. Assists with research on social media and e-commerce sites focused on the sale of protected wildlife parts or products. Qualifications: The ability to work independently as well as with focused groups on assigned tasks. Basic working knowledge of the Microsoft Office suite of products (Word, Excel, PowerPoint, SharePoint, Forms). Effective written and verbal skills, and the ability to communicate well with diverse audiences. The ability to work within databases and manipulate data. An interest in utilizing collected data to be use in informed wildlife management decisions or assisting in wildlife trafficking investigations. Eligibility: Be pursuing or have an undergraduate or associates in: Data analysis, Natural resource management, Natural sciences, Earth sciences, History, Archeology, Anthropology, Park and recreation management, Law enforcement/police science, Social sciences, Museum sciences, Business administration, Public administration, Behavioral sciences, Sociology, and another closely related subject pertinent to the management and protection of natural and cultural resources. Must be 18 years old by project date. Must have a strong interest in the FWS fellowship program. Must be a U.S. Citizen or lawful permanent resident. For more information on MobilizeGreen, go to: *********************

This is not a remote work opportunity. Ericsson Inc. does not sponsor US work authorizations for this job position including H-1B, O-1, and TN. Ericsson also does not hire F-1's working on EAD for this position. Are you ready to drive and shape the future of Ericsson Silicon's Verification analytics and data-driven insights? Join our dynamic Design Verification Methodology team, dedicated to defining cutting-edge metric-driven methodologies and dashboarding solutions across our global R&D sites in Austin, Stockholm, and Lund. About Us We are part of Ericsson Silicon, an engineering unit that develops state-of-the-art ASICs and FPGAs targeting the newest technology nodes for Ericsson's 5G telecommunication portfolio. This department offers many opportunities for career growth and access to a large knowledge base. What you will do: To excel in this high-visibility role, we seek individuals with a background in ASIC IP/ASIC SoC development, data science, and dashboarding. You will play a crucial role in shaping data-driven methodologies that help silicon IP engineers track Coverage metrics, Functional Coverage pass/fail rates, EDA tool efficiency, and verification progress, ensuring a holistic view of ASIC SoC health. A key focus is on building scalable metric systems, integrating AI/ML techniques for predictive analytics, and visualizing workload throughput across compute clusters and EDA tools * Design and implement Silicon DV metric systems to track and visualize: Coverage and Functional Coverage (pass/fail rates, closure status). Workload Throughput (runtime, memory usage, compute efficiency, and job scaling). EDA Resource Utilization (license usage, peak load analysis, and bottleneck detection). Other key KPI to measure and track Silicon Design and Verification status * Develop interactive dashboards for real-time monitoring of verification progress and EDA tool performance. * Create AI/ML-driven analytics for predictive workload optimization and resource allocation insights. * Automate data collection and transformation from EDA tools, compute clusters, and job schedulers. * Integrate metric systems into CI/CD workflows, enabling data-driven decision-making for IP/ASIC/SoC verification teams. * Collaborate with silicon engineers to improve compute scheduling, license efficiency, and verification throughput. * Establish best practices for data visualization, reporting, and engineering decision support. What you will bring: * Strong expertise in data science, analytics, and visualization tools (e.g., Python, Pandas, NumPy, Jupyter, Tableau, Grafana). * Experience with EDA tool monitoring (e.g., Synopsys VCS, Cadence Xcelium, Siemens Questa, JasperGold, Verdi). * Proficiency in SQL, NoSQL databases, and scalable data pipeline development. * Knowledge of AI/ML frameworks for predictive analytics in EDA workloads. * Familiarity with compute cluster resource monitoring (e.g., Slurm, LSF, Kubernetes). * Hands-on experience with runtime and memory profiling for verification workloads. * Understanding of CI/CD tools like Jenkins, GitLab, Docker, Kubernetes. * Strong programming skills in Python, Bash, Perl, or similar scripting languages. * Effective communication and ability to present data-driven insights to engineering teams. Why Join Us? * Be part of a high-impact team transforming silicon verification with data science and AI. * Work on cutting-edge analytics and visualization tools for EDA workload monitoring and optimization. * Shape data-driven verification methodologies for global engineering teams. * Collaborate with world-class experts in semiconductor R&D. base pay range $175,000 to $210,000 What happens once you apply? Click Here to find all you need to know about what our typical hiring process looks like. Notice of Job Opportunity - Legal Notices for PERM We encourage you to consider applying to jobs where you might not meet all the criteria. We recognize that we all have transferrable skills, and we can support you with the skills that you need to develop. Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity and Affirmative Action employer, learn more. If you need assistance or to request an accommodation due to a disability, please contact Ericsson at *************************** DISCLAIMER: The above statements are intended to describe the general nature and level of work being performed by employees in this position. They are not an exhaustive list of all responsibilities, duties and skills required for this position, and you may be required to perform additional job tasks as assigned. Primary country and city: USA || Austin, TX Job details: Developer Primary Recruiter: Jim Everett

With Confluent, organizations can harness the full power of continuously flowing data to innovate and win in the modern digital world. We have a purpose that drives us to do better every day - we're creating an entirely new category within data infrastructure - data streaming. This technology will allow every organization to create experiences and use the power of data in ways that profoundly impact the way we all live. This impact is our purpose and drives us to do better every day. One Confluent. One team. One Data Streaming Platform. Data Connects Us. **About the Role:** As a Marketing Data Scientist at Confluent, you will be a key player in analyzing lead funnel efficiency, marketing measurement and pipeline management. In this role, you will collaborate with Marketing, Growth, Sales & Finance stakeholders. Your focus will include data exploration, conducting in-depth analyses, and generating actionable insights to optimize and sustain healthy marketing funnel. **What You Will Do:** + Identify high-impact opportunities through data exploration, and generate strategic insights by collaborating with cross-functional teams, contributing to improvement amongst top of the funnel conversion metrics. + Define marketing metrics to measure success, develop scalable reporting to monitor the health of our pipeline, and analyze drivers for company KPIs + Share actionable insights and recommendations with leadership at various levels, playing a pivotal role in determining marketing campaign and pipeline strategy + Design and execute A/B tests to measure the impact of product features and launches, providing insights that guide iterative improvements. + Provide deep understanding of customer journey phases, from awareness to conversion with expertise in analyzing metrics like ROI, CLTV etc. to identify opportunities for growth and optimization + Collaborate with other data scientists across our organization to share best practices, learn new analytical techniques, and champion an organizational culture where data is central to decision making **What You Will Bring:** + 3+ years of experience in Data Science supporting a marketing function, preferably at a B2B SaaS company + Strong proficiency in data manipulation, especially using SQL (3+ years of experience) and a scripting language (Python/R) + Proficiency in data visualization and building dashboards with tools such as Tableau + Excellent communication skills, and ability to collaborate effectively with technical and non-technical stakeholders + Experience with marketing attribution models across a variety of channels (SEO, Paid Search, Social, etc.) and A/B testing frameworks + Exceptional problem solving skills and detail-oriented mindset + Bachelor or advanced degree in a quantitative discipline: computer science, engineering, statistics, economics, etc. **What Gives You an Edge:** + Familiarity with lead funnel, marketing attribution models, and marketing measurement using causal inference and other advanced analytical methods. + Understanding of the B2B Marketing Stack, Salesforce objects **Come As You Are** At Confluent, equality is a core tenet of our culture. We are committed to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences. The more diverse we are, the richer our community and the broader our impact. Employment decisions are made on the basis of job-related criteria without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by applicable law. At Confluent, we are committed to providing competitive pay and benefits that are in line with industry standards. We analyze and carefully consider several factors when determining compensation, including work history, education, professional experience, and location. This position has an annual estimated salary of $160,100 - $188,100 and a competitive equity package. The actual pay may vary depending on your skills, qualifications, experience, and work location. In addition, Confluent offers a wide range of employee benefits. To learn more about our benefits click HERE (******************************* . Click HERE (******************************************************************* to review our Candidate Privacy Notice which describes how and when Confluent, Inc., and its group companies, collects, uses, and shares certain personal information of California job applicants and prospective employees. \#LI-Remote

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.

Bring your heart to CVS Health. Every one of us at CVS Health shares a single, clear purpose: Bringing our heart to every moment of your health. This purpose guides our commitment to deliver enhanced human-centric health care for a rapidly changing world. Anchored in our brand - with heart at its center - our purpose sends a personal message that how we deliver our services is just as important as what we deliver. Our Heart At Work Behaviors support this purpose. We want everyone who works at CVS Health to feel empowered by the role they play in transforming our culture and accelerating our ability to innovate and deliver solutions to make health care more personal, convenient and affordable. **Position Summary** Responsible for security strategies utilizing industry security standards, normative comparisons with industry peers, best practice research and Aetna specific business and technology requirements. Helping define, drive and deliver all aspects of the data science product lifecycle, from requirements gathering, education, and strategy, to study design, solution architecting, programming, testing, implementation, delivery, and iteration of data science analytics products. **Required Qualifications** + 10+ years of expertise in machine learning, statistical analysis, security, and network data to model risk-driven models of workforce behavior and provide context to security analysts to drive business decisions. + 8+ years of experience in tensorflow or pytorch and knowledge of Gen AI/LLM/NLP/MLOps or similar methodologies. + 8+ years of customer interfacing experience (internal or external), demonstrating excellent ability to communicate technical ideas and results to non-technical clients in written and verbal form, and reliable executive presence. + Capability to provide strategic leadership by proactively recommending innovative research techniques and customer engagement opportunities. + Master's Degree in Data Science, Mathematics, Statics. PhD is ideal. . **Preferred Qualifications** + Extensive experience developing computational methods and algorithms as demonstrated by publications, Python etc. + Extensive experience in software development + Experience developing and applying data science methods to anomaly detection and/or times series problems. + Extensive experience in software development + Experience in Cloud computing environment. **Education** Bachelor degree from accredited university or equivalent work experience (HS diploma + 4 years relevant experience) **BUSINESS OVERVIEW** Bring your heart to CVS Health Every one of us at CVS Health shares a single, clear purpose: Bringing our heart to every moment of your health. This purpose guides our commitment to deliver enhanced human-centric health care for a rapidly changing world. Anchored in our brand - with heart at its center - our purpose sends a personal message that how we deliver our services is just as important as what we deliver. Our Heart At Work Behaviors support this purpose. We want everyone who works at CVS Health to feel empowered by the role they play in transforming our culture and accelerating our ability to innovate and deliver solutions to make health care more personal, convenient and affordable. We strive to promote and sustain a culture of diversity, inclusion and belonging every day. CVS Health is an affirmative action employer, and is an equal opportunity employer, as are the physician-owned businesses for which CVS Health provides management services. We do not discriminate in recruiting, hiring, promotion, or any other personnel action based on race, ethnicity, color, national origin, sex/gender, sexual orientation, gender identity or expression, religion, age, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law. We proudly support and encourage people with military experience (active, veterans, reservists and National Guard) as well as military spouses to apply for CVS Health job opportunities **Pay Range** The typical pay range for this role is: $144,200.00 - $288,400.00 This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company's equity award program. In addition to your compensation, enjoy the rewards of an organization that puts our heart into caring for our colleagues and our communities. The Company offers a full range of medical, dental, and vision benefits. Eligible employees may enroll in the Company's 401(k) retirement savings plan, and an Employee Stock Purchase Plan is also available for eligible employees. The Company provides a fully-paid term life insurance plan to eligible employees, and short-term and long term disability benefits. CVS Health also offers numerous well-being programs, education assistance, free development courses, a CVS store discount, and discount programs with participating partners. As for time off, Company employees enjoy Paid Time Off ("PTO") or vacation pay, as well as paid holidays throughout the calendar year. Number of paid holidays, sick time and other time off are provided consistent with relevant state law and Company policies. For more detailed information on available benefits, please visit Benefits | CVS Health (****************************************** We anticipate the application window for this opening will close on: 03/31/2025 Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws. We are an equal opportunity and affirmative action employer. We do not discriminate in recruiting, hiring, promotion, or any other personnel action based on race, ethnicity, color, national origin, sex/gender, sexual orientation, gender identity or expression, religion, age, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.

Position Description PMC Mission and ValuesOur mission is excellence in healthcare services and the promotion of wellness in our community. Our Guiding Values are Integrity, Dignity, Professionalism, Teamwork and Quality. Job DescriptionHealthcare Data Analyst SummaryPetersburg Medical Center is seeking a part time Health Data Analyst to join our Information Technology team. The role is essential in supporting the hospital's data-driven decision-making processes. The Healthcare Data Analyst will collect, analyze, and report on clinical, financial, and operational data to improve patient outcomes, enhance efficiency, and ensure regulatory compliance. Key Responsibilities Collaborate with clinical and administrative departments to understand data needs and deliver actional insights. Extract, clean, and analyze data from electronic health records (EHR), financial systems, and other sources. Design and generate reports, dashboards, and visualizations to support decision-making and performance improvement. Monitor data quality and ensure accuracy, completeness, and integrity of datasets. Assist with data submission for regulatory reporting and compliance requirements (e.g. Medicare, Medicaid, UDS reports). Identify trends, patterns, and opportunities for improving patient care and operational performances. Provide technical support and training to staff on data tools and reporting solutions. Qualifications Bachelor's degree in related field (Data Analytics, Healthcare Administration, Computer Science, or equivalent). Experience in data analysis, preferably in a healthcare setting. Proficiency in SQL, Excel, and data visualization tools (Power BI, Tableau, or similar). Familiarity with electronic health records (EHR) systems, particularly Cerner, Epic, Meditech is a plus. Strong analytical skills and attention to detail. Provide technical support and training to staff on data tools and reporting solutions. Must be able to pass a State of Alaska background check and a drug screen (including Marijuana). Preferred Qualifications Knowledge of healthcare data standards and regulatory requirements (e.g., HIPAA, HEDIS, UDS). Experience with healthcare reporting and data extraction tools. Understanding of quality improvement initiatives in clinical settings. Working Conditions Part time (15 - 20 hours per week) with flexible scheduling options. Work to be performed onsite at PMC. Type: Full-time Expires: 05/31/2025

We are looking for a data scientist that will help us discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver even better products. Your primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our products. {{Depending on your needs, you can write very specific requirements here, like: “automate scoring using machine learning techniques”, “build recommendation systems”, “improve and extend the features used by our existing classifier”, “develop internal A/B testing procedures”, “build system for automated fraud detection”, etc.}} Responsibilities Selecting features, building and optimizing classifiers using machine learning techniques Data mining using state-of-the-art methods Extending company's data with third party sources of information when needed Enhancing data collection procedures to include information that is relevant for building analytic systems Processing, cleansing, and verifying the integrity of data used for analysis Doing ad-hoc analysis and presenting results in a clear manner Creating automated anomaly detection systems and constant tracking of its performance

Responsible for seamless order intake, validation, and processing to enable successful provisioning and billing orders to complete customer orders as a unit of work. This role requires a high level of attention to detail, the ability to work under tight deadlines, and seek assistance when required to ensure a high level of quality of orders being entered. + Process new and transition orders for Federal agencies, ensuring accuracy and compliance with all federal regulations + Utilize intake methods such as email, Ebond (Conexus, ETEMs), and Business Center to manage order requests. + Collaborate with cross-functional teams to ensure seamless order processing from intake to billing, including review of order provisioning and billing setup in the system. + Maintain up-to-date knowledge of EIS products, process flows, and service level agreements (SLAs). + Support operational dashboards for order visibility and forecasting to improve predictability and control. + Ensure all network hardware, core network configurations, and software requirements are accurately captured and assigned. + Support Services shall be executed in compliance with processing and program guidelines published by Customer. Minimum Qualifications + High School Diploma or GED + 0-2 years of related experience in a network services environment with a focus on order intake and management and/or experience with data entry. Experience within federal government context a plus. Other Job Specific Skills + Strong analytical and problem-solving abilities. + Proficient in quality data entry. + Proficient in using various intake methods and comfortable working with technology. + Strong organizational skills and the ability to manage a high volume of orders. + Strong written and verbal communication skills. + Strong listening ability to interpret and clarify information being provided. + Ability to work effectively in a team environment. + Ability to work on MS Excel for any business calculation. + Keen attention to detail and accuracy. + Ability to work well under pressure. **Compensation Ranges** Compensation ranges for ASM Research positions vary depending on multiple factors; including but not limited to, location, skill set, level of education, certifications, client requirements, contract-specific affordability, government clearance and investigation level, and years of experience. The compensation displayed for this role is a general guideline based on these factors and is unique to each role. Monetary compensation is one component of ASM's overall compensation and benefits package for employees. **EEO Requirements** It is the policy of ASM that an individual's race, color, religion, sex, disability, age, sexual orientation or national origin are not and will not be considered in any personnel or management decisions. We affirm our commitment to these fundamental policies. All recruiting, hiring, training, and promoting for all job classifications is done without regard to race, color, religion, sex, disability, or age. All decisions on employment are made to abide by the principle of equal employment. Physical Requirements The physical requirements described in "Knowledge, Skills and Abilities" above are representative of those which must be met by an employee to successfully perform the primary functions of this job. (For example, "light office duties' or "lifting up to 50 pounds" or "some travel" required.) Reasonable accommodations may be made to enable individuals with qualifying disabilities, who are otherwise qualified, to perform the primary functions. **Disclaimer** The preceding job description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job. $16.54 - $23.00/hr EEO Requirements It is the policy of ASM that an individual's race, color, religion, sex, disability, age, gender identity, veteran status, sexual orientation or national origin are not and will not be considered in any personnel or management decisions. We affirm our commitment to these fundamental policies. All recruiting, hiring, training, and promoting for all job classifications is done without regard to race, color, religion, sex, veteran status, disability, gender identity, or age. All decisions on employment are made to abide by the principle of equal employment.

**Our Company** At Teradata, we believe that people thrive when empowered with better information. That's why we built the most complete cloud analytics and data platform for AI. By delivering harmonized data, trusted AI, and faster innovation, we uplift and empower our customers and our customers' customers to make better, more confident decisions. The world's top companies across every major industry trust Teradata to improve business performance, enrich customer experiences, and fully integrate data across the enterprise. **What You'll Do** The Senior Data Scientist (pre-sales) is an experienced and expert Data Scientist, able to provide industry thought-leadership on Analytics and its application across industries and across use-cases. The Senior Data Scientist supports the account team in framing business problems and in identifying analytic solutions that leverage Teradata technology and that are disruptive, innovative - and above all, practical. An articulate and compelling communicator, the Senior Data Scientist establishes our position as an important partner for advanced analytics with customers and prospects and is a trusted advisor to executives, senior managers and fellow data scientists alike across a range of target accounts. They are also a hands-on practitioner who is ready, willing and able to roll-up her sleeves and to deliver POC and short-term pre-sales engagements. The Senior Data Scientist has an excellent theoretical and practical understanding of statistics and machine learning and has a strong track record of applying this understanding at scale to drive business benefit. They are insanely curious and is a natural problem-solver and able to effectively promote Teradata technology and solutions to our customers. **Who You'll Work With** The successful candidate will work with other expert team members to: + Provide pre-sales support at an executive level to the Teradata account teams, helping them to position and sell complex Analytic solutions that drive sales of Teradata software. + Provide strategic pre-sales consulting to executives and senior managers in our target market. + Support the delivery of PoC and PoV projects that demonstrate the viability and applicability of Analytic use-cases and the superiority of Teradata solutions and services. + Work with the extended Account team, and Sales Analytics Specialists to develop new Analytic propositions that are aligned with industry trends and customer requirements. **What Makes You a Qualified Candidate** + a degree level qualification (preferably Masters or PHD) in Statistics, Data Science, the physical or biological sciences or a related discipline + Have proven hands-on experience of complex analytics at scale for example in the areas of IoT and sensor data. + Understand the PMML and ONNX model portability standards + Have experience with Teradata partner's analytical products, Cloud Service providers such as AzureML and Sagemaker and partner products such as Dataiku and H2O + Have strong hands-on programming skills in at least one major analytic programming language and/or tool in addition to SQL **What You'll Bring** + An expertise in Data Science with a strong theoretical grounding in statistics, advanced analytics, and machine learning and at least 5 years real-world experience in the application of advanced analytics. + A passion about knowledge sharing and demonstrate a commitment to continuous professional development. + A Belief in Teradata's Analytic solutions and services and be a commitment to working with the product, engineering, and consulting teams to ensure that they continue to lead the market + An ability to turn complex technical subject matter into relatable easy to digest and understand content for senior audiences. **Why We Think You'll Love Teradata** We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are an anti-racist company because our dedication to Diversity, Equity, and Inclusion is more than a statement. It is a deep commitment to doing the work to foster an equitable environment that celebrates people for all of who they are. \#LI-CP2 Teradata invites all identities and backgrounds in the workplace. We work with deliberation and intent to ensure we are cultivating collaboration and inclusivity across our global organization. We are proud to be an equal opportunity and affirmative action employer. We do not discriminate based upon race, color, ancestry, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related conditions), national origin, sexual orientation, age, citizenship, marital status, disability, medical condition, genetic information, gender identity or expression, military and veteran status, or any other legally protected status. Pay Rate: 117100.0000 - 146400.0000 - 175700.0000 Annually Starting pay for the successful applicant will depend on geographic location, internal equity, job-related knowledge, skills, and candidate experience. Sales roles will be eligible for commission payments tied to quota achievement. All other permanent roles will be eligible for one of our annual incentive plans, which are based on company financial attainment and individual performance. Employees in this position are also eligible to participate in the Company's comprehensive benefits programs, which include healthcare, life and disability insurance plans, a 401(k)-retirement savings plan, and time-off programs. Specific details of these benefits, including eligibility criteria and plan options, will be provided during the hiring process and can be reviewed here: **************************************************

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.

Job ID 184475 Posted 17-Sep-2024 Service line GWS Segment Role type Full-time Areas of Interest Graduate, Internship/Industry placement **About The Role:** This internship is designed for current graduate students, pursuing a masters degree, and seeking a career in commercial real estate. Participation in the program is intended to provide a well-rounded knowledge of the commercial real estate business and valuable skills, earned by working alongside dedicated professionals in the largest and most successful global commercial real estate services firm. The internship accelerates your learning and development by providing you with a strong foundation upon which to build your commercial real estate sales career. The program provides you with an outstanding perspective on our coordinated service lines. As a program participant, you will also partake in learning and development activities designed especially for you. **What You'll Do:** + Placement and specific responsibilities will be based on an individual's area of concentration, strengths, interests, and the GWS business need. Examples and will vary according to role + Work with account leadership to understand account operations, scopes of service and financial requirements within an integrated service model + Gain exposure to multiple areas of the core business and brainstorm ways to help improve standard process sharing + Develop recommendations for greater financial/operational controls and standard reporting routines + Analyze & develop plans for portfolio optimization and increased flexibility based on market and facility conditions **What You'll Need:** + Full-time MBA student at a top institution + Expected graduation date of December 2025 or May 2026 + Experience in commercial real estate desired, and/or curiosity about real estate and willingness to be exposed to multiple fields + Financial competence with the ability to interpret business financial documents + Demonstrated leadership and teaming capabilities + Strong written and verbal communication, and presentation skills + Ability to gather, analyze, interpret and summarize data; advanced Excel skills preferred + Tentative Availability: 6/2/2025 to 8/8/2025 **Why CBRE?** When you join CBRE you will have the support and resources of a global firm where an entrepreneurial mentality is encouraged. You'll realize your potential with exciting work, fast-paced assignments, an environment of constant learning and dedication to results! To enable your success, we provide the best tools, training and leaders in the industry. Our culture is built on our RISE values and reflects the needs and perspectives of our clients and our people. Our work is guided by our North Star: Crafting the real estate solutions of tomorrow, so businesses and people thrive. **Applicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the future.** **New York Residents** : CBRE carefully considers multiple factors to determine compensation, including a candidate's education, training and experience. The minimum salary for the Intern position is $30.00 per hour and the maximum salary for the Intern position is $40.00 per hour. The compensation that is offered to a successful candidate will depend on the candidate's skills, qualifications, and experience. **Washington Residents** : CBRE carefully considers multiple factors to determine compensation, including a candidate's education, training and experience. The minimum salary for the Intern position is $30.00 per hour and the maximum salary for the Intern position is $40.00 per hour. The compensation that is offered to a successful candidate will depend on the candidate's skills, qualifications, and experience. **Equal Employment Opportunity:** CBRE is an equal opportunity employer that values diversity. We have a long-standing commitment to providing equal employment opportunity to all qualified applicants regardless of race, color, religion, national origin, sex, sexual orientation, gender identity, pregnancy, age, citizenship, marital status, disability, veteran status, political belief, or any other basis protected by applicable law. **Candidate Accommodations:** CBRE values the differences of all current and prospective employees and recognizes how every employee contributes to our company's success. CBRE provides reasonable accommodations in job application procedures for individuals with disabilities. If you require assistance due to a disability in the application or recruitment process, please submit a request via email at recruitingaccommodations@cbre.com or via telephone at *************** (U.S.) and *************** (Canada). CBRE, Inc. is an Equal Opportunity and Affirmative Action Employer (Women/Minorities/Persons with Disabilities/US Veterans)

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

tdp style="margin-left:0in; margin-right:0in"Positions available in Anchorage, Nome, Unalakleet, and with partners in Seattle./p p style="margin-left:0in; margin-right:0in"Norton Sound Economic Development Corporation (NSEDC) offers non-exempt, temporary internship positions as an avenue for residents to gain valuable work experience and professional development by engaging in productive and meaningful work within NSEDC departments./p p style="margin-left:0in; margin-right:0in; text-align:justify"strong Essential Job Functions and Responsibilities/strong:/p p style="margin-left:0in; margin-right:0in; text-align:justify"NSEDC internship positions are designed to include specific learning objectives applicable to the intern's area of study. The following list of functions and responsibilities serve as a framework for the range of duties associated with, but not limited to, this position./p ul li style="text-align:justify"Perform basic office support functions: receive, send, and distribute telephone calls, emails, and faxes; file documents; gather and distribute department information; etc./li li style="text-align:justify"Assist departments with special projects/li li style="text-align:justify"Prepare formal presentation to members of NSEDC management on the Community Development Quota (CDQ) program and assigned internship area/li li style="text-align:justify"Participate in professional development programs and opportunities/li li style="text-align:justify"Maintain confidentiality of information/li li style="text-align:justify"Coordinate with other NSEDC program staff for the transfer of information regarding the benefits of NSEDC programs in the region/li li style="text-align:justify"Prepare activity reports and other reports as assigned/li li style="text-align:justify"Other duties as assigned/li /ul /td

Duration: Summer 2025, possible extension through the fall Hours: Avg. 20 hours/week Rate: $20 hourly As a Marketing Intern at Resource Data, you'll immerse yourself in the world of IT and software development. Working side-by-side with our Marketing Manager, you will learn how a growing consulting firm targets markets, conducts market and competitive research, develops targeted messaging, and draws insights and develops plans from marketing research. You will have the opportunity to work on exciting projects, learn from experienced professionals, and contribute to our mission of achieving success. Key Responsibilities * Conducting market research, analysis, and reporting under the guidance of the marketing team leaders, identifying trends, competitor activities, and potential opportunities * Learning to develop go-to-market plans and marketing campaigns while ensuring alignment with the company's brand message and overall marketing strategy. * Researching opportunities for the company's participation in industry events to boost brand awareness and generate leads * Writing employee website profiles to champion the team at Resource Data * Developing articles for the company newsletter profiling key stories that promote Resource Data's culture * Creating content that effectively communicates the brand message such as articles, sales decks, case studies, capability statements, and other marketing collateral * Performing ad-hoc marketing tasks as needed on an ongoing basis Basic Qualifications * Anticipating 2025 or 2026 graduation with a degree in Marketing * Eagerness to learn about real-world application of marketing skills * Ability to self-direct in projects with a moderate level of ambiguity * Excellent written and oral communication skills * Creative and analytical thinking skills * Familiarity with Microsoft Office suite - Word, PowerPoint, Excel Preferred Qualifications * Experience with the Adobe creative suite (Creative Cloud, InDesign, Photoshop, Illustrator) * Familiarity with SEO research * Knowledge of prompting Large Language Models (ie. ChatGPT, Claude etc.) #LI-Remote

RESPEC seeks a Marketing Communications Intern in our Anchorage or Palmer, AK location. Big challenges need bold thinkers. If you're someone who sees problems as opportunities, you'll thrive here. RESPEC is 100% employee-owned , which means we take ownership of every challenge. Here, your ideas drive real solutions. Since 1969, we've tackled complex challenges in energy transition, infrastructure resilience, digital transformation, and sustainability. At RESPEC, you'll work alongside clients to take on critical problems . Depending on your expertise, you might design infrastructure in remote locations, develop renewable energy solutions for global projects, or apply data-driven technology to improve mining and water systems. We bring deep technical knowledge, real-world experience, and a commitment to work that matters. If you're looking for a place where your contributions have real impact, you'll fit right in. We're looking for someone with hustle, someone ready to get their hands dirty in the real-world marketing scene, and someone passionate about writing, editing, and telling compelling stories. Sound like you? In that case, we want your help supporting our seasoned marketing team with various materials (e.g., project case studies, job descriptions, monthly newsletters, service capabilities and descriptions). You will also be able to assist our Alaskan business development team in tracking client interactions, joining strategic meetings, and otherwise picking up client relationship management skills not currently taught in many business curriculums. Join our weekly meetings to help brainstorm, build, and manage our content/project calendar and language library. You'll gain an understanding of brand identity and how to adhere to brand guidelines while putting your creative side to work with compelling, fresh content. By the time your internship is over, you'll know what it's like to work on a fun, close-knit marketing team that loves what they do. Qualifications The ideal candidate will have the following: Currently enrolled in a degree program studying writing, editing, and strategic communications, in English, marketing or journalism preferred Basic knowledge of Adobe InDesign, Photoshop, and Illustrator is a plus You can translate difficult concepts into clear and understandable information You're a bright, reliable person who can balance working hard and having fun Your ability to stay organized with several projects is second nature, and you're always looking for ways to improve your work You're available at least 16-20 hours per week. Additional Information Compensation: Hourly wage depends on education and experience, plus statutory insurance requirements. Equal Opportunity Employer, including veterans and individuals with disabilities. All your information will be kept confidential according to EEO guidelines.

RESPEC seeks a Marketing Communications Intern in our Anchorage or Palmer, AK location. Big challenges need bold thinkers. If you're someone who sees problems as opportunities, you'll thrive here. RESPEC is 100% employee-owned, which means we take ownership of every challenge. Here, your ideas drive real solutions. Since 1969, we've tackled complex challenges in energy transition, infrastructure resilience, digital transformation, and sustainability. At RESPEC, you'll work alongside clients to take on critical problems. Depending on your expertise, you might design infrastructure in remote locations, develop renewable energy solutions for global projects, or apply data-driven technology to improve mining and water systems. We bring deep technical knowledge, real-world experience, and a commitment to work that matters. If you're looking for a place where your contributions have real impact, you'll fit right in. We're looking for someone with hustle, someone ready to get their hands dirty in the real-world marketing scene, and someone passionate about writing, editing, and telling compelling stories. Sound like you? In that case, we want your help supporting our seasoned marketing team with various materials (e.g., project case studies, job descriptions, monthly newsletters, service capabilities and descriptions). You will also be able to assist our Alaskan business development team in tracking client interactions, joining strategic meetings, and otherwise picking up client relationship management skills not currently taught in many business curriculums. Join our weekly meetings to help brainstorm, build, and manage our content/project calendar and language library. You'll gain an understanding of brand identity and how to adhere to brand guidelines while putting your creative side to work with compelling, fresh content. By the time your internship is over, you'll know what it's like to work on a fun, close-knit marketing team that loves what they do. Qualifications The ideal candidate will have the following: Currently enrolled in a degree program studying writing, editing, and strategic communications, in English, marketing or journalism preferred Basic knowledge of Adobe InDesign, Photoshop, and Illustrator is a plus You can translate difficult concepts into clear and understandable information You're a bright, reliable person who can balance working hard and having fun Your ability to stay organized with several projects is second nature, and you're always looking for ways to improve your work You're available at least 16-20 hours per week. Additional Information Compensation: Hourly wage depends on education and experience, plus statutory insurance requirements. Equal Opportunity Employer, including veterans and individuals with disabilities. All your information will be kept confidential according to EEO guidelines.