At CVS Health, we're building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care.As the nation's leading health solutions company, we reach millions of Americans through our local presence, digital channels and more than 300,000 purpose-driven colleagues - caring for people where, when and how they choose in a way that is uniquely more connected, more convenient and more compassionate. And we do it all with heart, each and every day. Senior Data Scientist - Pricing Analytics
At CVS Health, we're building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care.
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As the nation's leading health solutions company, we reach millions of Americans through our local presence, digital channels and more than 300,000 purpose-driven colleagues - caring for people where, when, and how they choose in a way that is uniquely more connected, more convenient and more compassionate. And we do it all with heart, each and every day.
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. We strive to promote and sustain a culture of diversity, inclusion and belonging every day. CVS Health is an affirmative action employer, and is an equal opportunity employer, as are the physician-owned businesses for which CVS Health provides management services. 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.Position Summary
We are searching for a data scientist with both strong theoretical knowledge and practical experience with deep learning algorithms and models. Our team, "Pricing and Product Analytics," uses AI techniques to support actuarial/underwriting organization to improve Aetna's Health Insurance Pricing business. Our purpose is to solve complex healthcare cost issues using the latest technologies and data science innovations to provide the most fair and commensurate healthcare services. This position requires deep hands-on experience on building AI/ML and analytics models.Responsibilities:
- Participates in the development, validation and delivery of ML/DL algorithms and reporting tools
- Owns, maintains, and enhances existing predictive solutions and models
- Performs analyses of structured and unstructured data to solve multiple and/or complex business problems utilizing advanced statistical techniques and mathematical analyses
- Collaborates with business partners to understand their problems and goals and be able to translate business requirements into predictive models, statistical analysis, and/or data reports
- 3+ years of work experience with SQL, Python, GitHub, and proficiency in most areas of mathematical analysis methods; advanced SQL skills and experience is needed to design complicate data pipeline with SQL for model training
- In-depth experience with machine learning libraries TensorFlow, PyTorch and Scikit-learn to provide prediction/explanation solutions for business needs
- Fluency with Python object-oriented programming to design model architecture and framework for fast iteration
- Ability to take initiatives and independently problem solve, ideate, and work with limited guidance
- Has both hands-on and theoretical knowledge of major machine learning solution pipelines.
- Possesses exceptional experience and expertise in deep neural networks.
- Demonstrates a strong ability to design, implement, and optimize advanced ML models.
- Good knowledge of optimization algorithms and hands on experience with DL algorithms
- Experience working with Google Cloud services environment, specifically with Vertex AI and has GCP's Professional Machine Learning Engineer certificate
- Experience with large scale data assets
- Strong communication and collaboration skills
- Enjoys translating state of the art research papers to code
- Experience working with cloud environment, specifically with building data pipeline with Bigquery, model training and deployment in Vertex AI
- PhD in Computer Science, Electrical/Computer Engineering, Statistics, Econometrics, Machine Learning
- MS/PhD in Computer Science, Electrical/Computer Engineering, Statistics, Econometrics, Machine Learning
40Time Type
Full timePay Range
The typical pay range for this role is:$92,700.00 - $222,480.00This 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.Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.Great benefits for great peopleWe take pride in our comprehensive and competitive mix of pay and benefits - investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include:
- Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan.
- No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.
- Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.