Canal Street, New York

Job Description
This Sr. Data Scientist position lies within the newly formed Data Science Optimization team. DSO’s mission is to accelerate the scientific, engineering, and commercial efforts of the 800+ data scientists and engineers in the Analytics & Behavior Change organization through data-driven solution development. You will be working cross-functionally with a diverse multi-disciplinary team of data scientists, data engineers, and machine learning engineers. Each project is ambitious and far reaching, with the potential to become a new internal standard, open source software, and/or differentiating intellectual property. Whether you’re developing a niche package/library to enhance the data science workflow or engineering a highly generalizable machine learning system for the enterprise, know that there are millions of members, customers, and users being directly and indirectly affected by this work.

The role requires a keen sense of ownership, scrappiness, and initiative. If you have an insatiable curiosity for how things work, enjoy building things, are obsessed with measuring, and are energized by tackling complex problems, then we’d love to work with you.

Required Qualifications
• Excellent analytical, statistical, and problem-solving skills.
• Highly proficient in Python, SQL, shell scripting, Git.
• Substantive experience working with peta-scale data in a cloud environment (GCP, AWS, Azure).
• Thorough understanding of machine learning engineering principles such as distributed/parallel computing paradigms and advanced data structures.
• Familiarity with modern libraries for scaling up workloads such as Dask, PyArrow, and Rapids.
• Expertise with one or many ML/DL libraries such as Scikit-learn, PyTorch, and TensorFlow.
• Experience developing lightweight reporting dashboards (Voila, Dash, Panel, Streamlit).
• Strong collaboration and communication skills within and across teams.
• Bachelor's degree or equivalent work experience in Computer Science, Engineering, Mathematics, Statistics, Economics, Physics, or related discipline.

COVID Requirements
COVID-19 Vaccination Requirement
CVS Health requires its Colleagues in certain positions to be fully vaccinated against COVID-19 (including any booster shots if required), where allowable under the law, unless they are approved for a reasonable accommodation based on disability, medical condition, pregnancy, or religious belief that prevents them from being vaccinated.
  • If you are vaccinated, you are required to have received at least one COVID-19 shot prior to your first day of employment and to provide proof of your vaccination status within the first 30 days of your employment. For the two COVID-19 shot regimen, you will be required to provide proof of your second COVID-19 shot within the first 60 days of your employment. Failure to provide timely proof of your COVID-19 vaccination status will result in the termination of your employment with CVS Health.
  • If you are unable to be fully vaccinated due to disability, medical condition, pregnancy, or religious belief, you will be required to apply for a reasonable accommodation within the first 30 days of your employment in order to remain employed with CVS Health. As a part of this process, you will be required to provide information or documentation about the reason you cannot be vaccinated. If your request for an accommodation is not approved, then your employment may be terminated.

Preferred Qualifications
• Strong problem solving skills and critical thinking ability.
• Strong collaboration and communication skills within and across teams.
• Specialization in reinforcement learning, Bayesian modeling, time series analysis, survival analysis, geospatial analysis, or NLP.
• Proficiency in C++ or Java.
• Interested in mentoring junior team members.
• Strong organizational, management, and leadership skills.
• Ability to communicate technical ideas and results to non-technical clients in written and verbal form.
• Master’s degree or PhD in Computer Science, Engineering, Mathematics, Statistics, Economics, Physics, or related discipline

Master’s degree or PhD preferred.
Bachelor's degree or equivalent work experience in Computer Science, Engineering, Machine Learning, or related discipline.

Business Overview
At CVS Health, we are joined in a common purpose: helping people on their path to better health. We are working to transform health care through innovations that make quality care more accessible, easier to use, less expensive and patient-focused. Working together and organizing around the individual, we are pioneering a new approach to total health that puts people at the heart.

We strive to promote and sustain a culture of diversity, inclusion and belonging every day. CVS Health is an equal opportunity and affirmative action employer. We do not discriminate in recruiting, hiring or promotion based on race, ethnicity, sex/gender, sexual orientation, gender identity or expression, age, disability or protected veteran status or on any other basis or characteristic prohibited by applicable federal, state, or local law. We proudly support and encourage people with military experience (active, veterans, reservists and National Guard) as well as military spouses to apply for CVS Health job opportunities. See Job Description

Canal Street, New York

Continue serving and work with a purpose

As a CVS Health colleague, you'll find career opportunities across the organization and at every stage of your career. More important, your work will have an impactful purpose on someone's life, including your own. Learn more about how you can continue serving on your next mission at CVS Health.

Careers for Veterans and Military Spouses


"The military has an ethos that is grounded in purpose-driven service that’s bigger than the individual. The same holds true for us at CVS Health. You can talk to colleagues in any part of our business and they will be able to articulate our company’s purpose. Working here provides an opportunity for service members and military spouses to continue to serve, just in a civvies."

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