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Senior Data Scientist – ML
| Company | CVS Health |
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| Location | New York, NY, USA |
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| Salary | $111240 – $222480 |
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| Type | Full-Time |
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| Degrees | |
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| Experience Level | Senior |
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Requirements
- 3+ years of experience in descriptive and predictive analytics including gathering requirements to meet data and technology pre-requisites
- Strategic mindset and experience leading highly technical initiatives focused on deploying data and analytics solutions in healthcare
- Ability to engage with stakeholders, communicate insights and promote adoption of analytics insights
- Deep expertise with data modeling/analytics in SQL and Python
- Highly motivated to work in a fast-paced environment and enable sustainable impact in front store operations
Responsibilities
- Utilize analytics expertise to collaborate with key leaders in identifying new use cases that align with ambitious goals in CVS pharmacy.
- Gather business requirements from multiple stakeholders and lead the analysis of extensive data to develop strategies and tactics for solving complex problems and optimizing tradeoffs.
- Lead initiatives focused on asset protection analytics, employing both descriptive and predictive techniques.
- Create and deliver presentations that communicate insights derived from analytics, along with recommendations and plans for moving forward, to a diverse range of audiences including internal stakeholders and senior leadership.
- Promote knowledge sharing and provide input on the technology stack.
Preferred Qualifications
- First hand experience in building models to generate predictive and prescriptive insights
- Familiarity with the common Python libraries used in machine learning projects
- Experience with cloud computing platforms (e.g., Snowflake.), including querying/mining large datasets and deploying projects on cloud systems.
- Familiarity with working in an Agile framework.
