Lead Data Scientist, NLP & Strategic Member Insights

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:

We are seeking an innovative and highly skilled Data Scientist to join our Medicare Member Experience Data Science Insights Team. In this role, you will support the development of advanced machine learning models, including hierarchical multi-label classification models, using numerous unstructured data such as survey responses, complaints, and call transcripts. Your contributions will help create a cutting-edge application to trend member feedback on key topics, enabling business stakeholders to leverage topic-based data to identify key member insights that drive meaningful action.

This role is ideal for a visionary who can make sense of complex data, has deep coding expertise, and can collaborate with business stakeholders to gather requirements and deliver technical solutions. You will collaborate closely with cross-functional teams, including data engineers, domain experts, application developers and business stakeholders, to understand requirements, define objectives, and deliver actionable insights. Additionally, you will mentor junior data scientists, ensuring their collaborative efforts coalesce into successful, high-impact products. As the team grows, this role offers the potential to take on direct-report leadership responsibilities.

Required Qualifications:

6+ years of experience in:

• Developing and deploying machine learning models in both on-premises and cloud environments.

• Using Python with machine learning libraries such as TensorFlow, scikit-learn, or PyTorch.

• Applying NLP techniques to unstructured data, including surveys, complaints, and transcripts.

• Cloud platforms (GCP, AWS, or Azure), with experience using cloud-native tools for data processing and model deployment.

• Experience with NLP techniques, such as sentiment analysis, topic modeling, and transfer learning, especially using transformer-based models.

• Using SQL to aggregate, filter, and group data for analysis.

• Version control systems (e.g., Git) to manage code and collaborate effectively with teams.

• Familiarity with the software development life cycle including developing, testing, and deploying changes to end-users.

• Demonstrated experience with Agile frameworks like Scrum, SAFe, Kanban, or Lean.

• Experience with project management tools like Jira, Trello, or Azure DevOps, and a track record of delivering projects on time.

• Familiarity with Python IDEs and a basic understanding of programming tools such as formatters, linters, and test suites.

• Communicating technical concepts to both technical and non-technical stakeholders.

Preferred Qualifications:

• Experience with Google Cloud Platform (GCP) and its tools (BigQuery, VertexAI, DataProc, Kubernetes) is highly preferred.

• Experience with Python-based visualization tools, particularly Plotly Dash, for trending and visualizing feedback.

• Experience managing machine learning models through MLOps practices, including monitoring, retraining, and model bias evaluation.

• Ability to mentor junior data scientists and drive cross-functional data science projects.

• Familiarity with customer experience data, particularly within healthcare or Medicare programs.

Education:

• Bachelor's degree in data science, computer science, statistics, or a related field (required).

• Master's degree in a related field (preferred).

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: 11/03/2024

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.