Data Scientist - Machine Learning & Deep Learning at CVS Health

New York, New York, United States

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Not SpecifiedCompensation

Junior (1 to 2 years)Experience Level

Full TimeJob Type

UnknownVisa

Healthcare, TechnologyIndustries

Requirements

1+ years of hands-on experience in data science, machine learning, or a related field
Strong theoretical foundation in machine learning, including supervised/unsupervised learning, model evaluation, and statistical inference
Hands-on expertise in Python for data science and machine learning (e.g., pandas, scikit-learn, TensorFlow, PyTorch)
Advanced SQL skills for data manipulation and analysis
Experience building, training, and deploying deep neural networks (CNNs, RNNs, transformers, etc.)
Demonstrated expertise in the software development lifecycle (SDLC), with a focus on using GitHub workflows for version control, branching strategies, code review, and CI/CD automation
Ability to work with both structured and unstructured data
Bachelor’s degree or equivalent work experience in Mathematics, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or a related discipline; Master’s or PhD preferred

Responsibilities

Develop, implement, and optimize machine learning and deep neural network models for a variety of business use cases
Apply strong theoretical knowledge of ML algorithms, statistical modeling, and data science best practices to solve complex problems
Write efficient, production-quality Python code for data processing, feature engineering, model training, and evaluation
Design and execute complex SQL queries for data extraction, transformation, and analysis from large-scale databases
Collaborate with engineering and product teams to integrate models into production systems
Communicate findings and recommendations to technical and non-technical stakeholders
Stay current with the latest research and advancements in machine learning and deep learning
Participate in the full software development lifecycle (SDLC), including requirements gathering, design, development, testing, deployment, and maintenance
Utilize GitHub workflows for version control, code review, CI/CD, and collaboration, ensuring best practices in code quality and project management

Skills

Key technologies and capabilities for this role

PythonSQLMachine LearningDeep LearningNeural NetworksStatistical ModelingFeature EngineeringGitHubCI/CDSDLC

Questions & Answers

Common questions about this position

What are the required qualifications for this Data Scientist role?

Candidates need 1+ years of hands-on experience in data science or machine learning, a strong theoretical foundation in ML including supervised/unsupervised learning, hands-on expertise in Python (pandas, scikit-learn, TensorFlow, PyTorch), advanced SQL skills, experience with deep neural networks like CNNs and RNNs, and expertise in SDLC with GitHub workflows.

What is the salary or compensation for this position?

This information is not specified in the job description.

Is this Data Scientist position remote or does it require office work?

This information is not specified in the job description.

What does CVS Health's company culture emphasize?

CVS Health emphasizes building a world of health with dedicated, purpose-driven colleagues passionate about transforming health care in a connected, convenient, and compassionate way.

What makes a strong candidate for this Data Scientist role?

A strong candidate will have the required 1+ years experience, expertise in Python, SQL, ML theory, deep learning models, and SDLC with GitHub, plus preferred skills like cloud ML platforms, MLOps, and big data technologies.

CVS Health

Comprehensive pharmacy and healthcare services

About CVS Health

CVS Health operates a large network of retail pharmacies and walk-in medical clinics across the United States, providing a variety of health-related products and services. Their offerings include prescription medications, over-the-counter health products, and beauty items, as well as pharmacy benefits management and specialty pharmacy services. CVS Health's integrated business model allows them to serve individual consumers, businesses, and communities effectively, with a focus on improving health outcomes and reducing healthcare costs. Unlike many competitors, CVS Health combines pharmacy services with medical care, making it easier for patients to access quality healthcare. The company's goal is to enhance access to healthcare and support individuals in achieving better health.

Woonsocket, Rhode IslandHeadquarters

1963Year Founded

DEBTCompany Stage

Healthcare, Consumer GoodsIndustries

10,001+Employees

Benefits

Health Insurance

Dental Insurance

Vision Insurance

Life Insurance

Disability Insurance

401(k) Retirement Plan

Company Equity

Wellness Program

Professional Development Budget

Paid Vacation

Paid Holidays

Risks

Legal challenges related to opioid prescriptions could harm CVS's reputation and finances.

The DOJ's intervention in a whistleblower lawsuit may increase legal costs for CVS.

The Horizon Organic Milk recall exposes potential vulnerabilities in CVS's supply chain.

Differentiation

CVS Health operates over 9,600 retail pharmacies and 1,100 walk-in clinics nationwide.

The company integrates pharmacy benefits management with specialty pharmacy services for comprehensive care.

CVS Health offers tailored medication plans through personalized medicine and pharmacogenomics.

Upsides

Expansion of telehealth services allows CVS to reach more patients remotely.

Increased consumer interest in wellness boosts demand for CVS's health-related products.

The trend towards value-based care aligns with CVS's integrated healthcare approach.

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