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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist (Decision Sciences Team) - **Company:** CVS Health - **Location:** New York, NY, United States - **Salary:** $64,890.0 - $173,040.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Analysis, Big Data, BigQuery, Information Engineering, Github, Python (Programming Language), Machine Learning, Azure Machine Learning, SQL Databases, Google Cloud, Electronic Medical Records, Information Technology, Machine Learning Operations, Software Version Control, Databricks - **Published:** July 13, 2026 - **Apply:** https://www.juju.com/job/00000000gg50wt ## About the Role + 3 years of demonstrated experience conducting statistical analysis and machine learning to answer research or business questions (1+ years if candidate has a Masters or PhD) + 3 years of experience in SQL and Python programming (1+ years if candidate has a Masters or PhD) + Demonstrated ability to decompose multi-tier problems into actionable steps + Excellent problem-solving and analytical skills + Experience working with large datasets, analyzing data, and extracting meaningful insights + Demonstrated ability to communicate complex analytical findings to diverse audiences Preferred Requirements: + Experience with Google Cloud Computing (GCP) + Experience with BigQuery + Experience working with medical data sets + Experience working with data engineering/MLOps teams to productionalize data science models + Familiarity with version control (e.g., GitHub) and ML Platforms (e.g., Databricks, GCP Vertex AI, etc.) + Familiarity with Medicare, Medicaid, and value-based models of health care + Familiarity with Epic Electronic Health Record (EHR) system Education: + A PhD or a Master's degree with 1+ years of relevant experience, or a Bachelor's degree with 3+ years of relevant experience in a STEM field such as Operations Research/ Industrial Engineering, Applied Mathematics, Computer Science, Engineering, or a related field. ## Description CVS/Oak Street Health is looking for a Data Scientist to join our Decision Sciences team. This team is responsible for delivering data-driven solutions to optimize Oak Street Health's innovative care model and ultimately improve patient outcomes. This team works with many stakeholders across the organization in a fast-paced, agile environment leveraging cutting-edge technology to reimagine how healthcare is provided. As a Data Scientist, you will work with other data scientists and analysts on prospective study designs & execution, ROI assessments, and clinical program evaluations & optimizations. You will be involved in creating statistical analysis plans in partnership with program stakeholders and presenting results to a diverse audience. As a member of our team, you will make an immediate impact as you help expand our data science capabilities across our whole care model. Core Responsibilities: + Utilize advanced mathematical and statistical methods to solve business problems under the supervision of senior data scientists + Execute exploratory data analysis to validate and quantify trends identified by partner organizations. + Develop insights, visualizations, and other data artifacts that support broader data science initiatives + Wrangle and analyze large structured and unstructured datasets in a highly repeatable fashion + Demonstrate strong communication skills (both written and verbal) and a positive, solution-oriented attitude + Other duties as assigned ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [Data Governance in the Era of AI](https://www.wearedevelopers.com/videos/1622-data-governance-in-the-era-of-ai) - [Making Data Warehouses fast. 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