Manager, Data Scientist

CVS Health•Northbrook, IL

13h•Remote

About The Position

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Position Summary CVS Health has an exciting opportunity for a Manager, Data Scientist. You will report to the Senior Manager of Analytical Insights. This position is open to fully remote candidates - WFH - anywhere in the U.S. Our data strategy process support, case volume, call volume, staff production efficiency and Resource Planning is our business foundation for planning and driving efficiency. The building of this business allows us to support our business partners and members. In this position you will deliver the analytics and insights to support Clinical operations. You will be responsible for analyzing, designing and implementing data solutions using Google Cloud Platform. You will act as an internal analytics specialist, utilizing tools such as SSIS, SSRS, Teradata, Alteryx, GCP, Python, Tableau, Dataiku and other analytical tools. You will be the technical subject matter expert supporting data automation reporting from multiple data source connections, with a primary focus on GCP migration strategy. Our data sources include Novologix, CAS, MedHok, phone, and Verint data. In this role you will focus on automation of current manual data processes, as well as supporting data staging necessary for Tableau dashboards. These dashboards will support the prior authorization business insights and exception requests. You will work with various business partners in operations to gain an understanding of their needs and develop appropriate business logic metrics to be represented in Tableau KPIs.

Requirements

Understanding of database design principles , logical and physical data models.
Knowledge of Software Development Life Cycle (SDLC) and documentation best practices.
Ability to translate business requirements into technical specifications.
Strong problem-solving and analytical skills with the ability to assess business impacts and prioritize tasks.
Excellent communication and collaboration skills ; ability to work independently and in a team environment.
Agile mindset with a focus on delivering incremental value and incorporating feedback quickly.
Ability to learn new domains and data sources rapidly.
Strong presentation skills and experience engaging with business stakeholders.
5+ years of experience with Database Related Technologies such as PL/SQL, T-SQL, SQLS, Stored Proc, query optimization, and performance tuning.
5+ years of experience building and evaluating predictive models or machine learning workflows using Python libraries such as pandas, scikit‑learn, statsmodels, or NumPy.
5+ years of experience with machine learning model deployment, monitoring, or MLOps pipelines.
5+ years of experience with cloud platforms , preferably Google Cloud Platform (GCP) , including SQL Server on GCP.
5+ years of hands-on experience creating SQL queries, packages, functions, and views for ad-hoc and recurring reports.
5+ years of experience with ETL and reporting tools such as SSIS, SSRS, Alteryx, Python.
5+ years of experience with multiple RDBMS platforms (Oracle, Teradata) and complex SQL report development.
5+ years of experience with Python for data processing and automation.

Nice To Haves

Experience and proficiency with Dataiku tool.
Experience in application development, maintenance, and support , ideally in retail or healthcare domains.
Exposure to front-end development (e.g., .NET/Python) is a plus.
Prior experience in PBM services, insurance, or healthcare.

Responsibilities

Analyze, design and implement data solutions using Google Cloud Platform.
Act as an internal analytics specialist, utilizing tools such as SSIS, SSRS, Teradata, Alteryx, GCP, Python, Tableau, Dataiku and other analytical tools.
Be the technical subject matter expert supporting data automation reporting from multiple data source connections, with a primary focus on GCP migration strategy.
Focus on automation of current manual data processes, as well as supporting data staging necessary for Tableau dashboards.
Develop appropriate business logic metrics to be represented in Tableau KPIs.
Enforce best practices.