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Job Summary: We seek a highly skilled Lead Data Scientist in our Medicare Member Experience data science team. In this role, you will be responsible for developing and deploying machine learning (ML) models to assist in a variety of customer satisfaction initiatives. One exciting challenge of the role is working with highly imbalanced datasets, offering the opportunity to showcase your talents and skills on real-world datasets. Your ML solutions will assist Aetna in maintaining its STARS ratings by identifying areas for improving member experience. You will collaborate with cross-functional teams to understand requirements, define objectives, and deliver insights on the cloud. You will also mentor junior colleagues by providing technical guidance and facilitating learning opportunities and career development.
Required: - 4+ years industry experience in data science or machine learning
- Experience with cloud computing platforms (e.g., Google Cloud Platform, Amazon Web Services, Azure)
- Proficient in Python and object-oriented programming
- Experience predicting outcomes in highly imbalanced datasets
- Experience deploying machine learning (ML) models in a production environment
- Experience navigating and querying production tables for features correlated with modeling outputs (e.g. SQL, NoSQL)
- Understanding of continuous evaluation of models in production using CI/CD patterns and awareness of tooling to support monitoring
- Experience translating business requirements into actionable insights and ML solutions.
- Good communication skills including the ability to explain technical concepts to non-technical audiences.
- Bachelor's degree in data science, statistics, computer science or related field.
Recommended: - Understanding of SHAP and other model interpretability packages for explaining and debugging model decisions
- Ability to effectively lead data science projects from start to finish, mentor junior colleagues, and drive data science initiatives.
- Experience with healthcare data, especially in the customer service domain
- Experience with Google Cloud Platform tools (e.g., BigQuery, VertexAI, Composer)
- Experience with parallelized applications for data science, such as Apache Spark and Apache Beam (DataProc, DataFlow)
- Advanced degree in data science, statistics, computer science or related field.
Pay Range The typical pay range for this role is:
$130,295.00 - $260,590.00
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.