Sr Data Scientist
| Company | CVS Health |
|---|---|
| Location | Pennsylvania, USA, Texas, USA, Jackson Township, NJ, USA, Waterbury, CT, USA, Georgia, USA, New York, NY, USA, Massachusetts, USA, Illinois, USA |
| Salary | $83430 – $222480 |
| Type | Full-Time |
| Degrees | |
| Experience Level | Senior |
Requirements
- Minimum of 3 years of experience in data science, analytics, or a related field.
- Proficiency in programming languages such as Python and SQL.
- Extensive experience working with machine learning algorithms, including but not limited to regression, classification, clustering, and deep learning.
- Experience with data visualization tools such as Tableau, Power BI, or similar.
- Expertise in statistical analysis and hypothesis testing.
- Strong experience with data preprocessing, feature engineering, and model selection.
- Familiarity with cloud computing platforms (e.g., AWS, GCP, or Azure).
- Proven track record of delivering end-to-end data science solutions, from problem definition to model deployment.
- Strong understanding of data structures, algorithms, and software engineering principles.
Responsibilities
- Developing predictive models and leveraging machine learning algorithms.
- Analyzing large datasets to provide actionable insights that influence strategic decisions.
- Solving complex business problems and collaborating with cross-functional teams.
- Identifying opportunities to optimize processes and performance.
- Delivering high-quality, scalable data products that contribute to the success of the organization.
Preferred Qualifications
- Experience with big data technologies (e.g., Hadoop, Spark).
- Familiarity with deploying models to production environments and integrating with business applications.
- Experience working with large-scale, unstructured data sets.
- Strong problem-solving skills, with the ability to think critically and analytically.
- Excellent communication skills, with the ability to present complex data insights to non-technical stakeholders.
- Ability to mentor junior team members and provide technical leadership.
- Proven ability to work effectively in a fast-paced, collaborative team environment.