The Mental Wellbeing team leverages advanced analytics techniques, consulting approaches and healthcare expertise to power mental health innovation for our members and customers. Our over-arching goal is to deliver high quality mental wellbeing that a is tailored to our members clinical needs, and higher quality of care for a cheaper price. As a Data Scientist – Mental Wellbeing, you will be working with cross-functional experts across the mental wellbeing space including strategy, product, operations, sales, account management and with our clinical experts – to design, build and implement initiatives which enable smarter, self-service reporting and analytics for our largest clients. You will apply your experience in research, statistics, and modeling to solve complex problems that are top of mind of our mental wellbeing leaders.

Responsibilities:

• Write complex SQL queries to extract data from SQL Server/Hadoop/GCP environments which will serve as underpinnings of ad-hoc and recurring analyses
• Experience conducting large scale data analysis to support business decision making
• Participates in the development, validation and delivery of algorithms, statistical models and reporting tools. Solves complex analytical problems.
• Maintains and enhances production models that provide customized designs and recommendations for our clients.
• Performs analyses of structured and unstructured data to solve multiple and/or complex business problems utilizing advanced statistical techniques and mathematical analyses and broad knowledge of the organization and/or industry.
• Collaborates with clients and internal business partners to understand challenges and influencing the resolution of root cause through advance analytics.
• Develops and participates in presentations and consultations to existing and prospective constituents on analytics results and solutions. Interacts with internal and external peers and managers to exchange complex information related to areas of specialization.
• Use strong programming skills to explore, examine and interpret large volumes of data in various forms.

Pay Range
The typical pay range for this role is:
Minimum: 70,000
Maximum: 140,000

This 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.

In addition to your compensation, enjoy the rewards of an organization that puts our heart into caring for our colleagues and our communities. The Company offers a full range of medical, dental, and vision benefits. Eligible employees may enroll in the Company's 401(k) retirement savings plan, and an Employee Stock Purchase Plan is also available for eligible employees. The Company provides a fully-paid term life insurance plan to eligible employees, and short-term and long term disability benefits. CVS Health also offers numerous well-being programs, education assistance, free development courses, a CVS store discount, and discount programs with participating partners. As for time off, Company employees enjoy Paid Time Off (PTO) or vacation pay, as well as paid holidays throughout the calendar year. Number of paid holidays, sick time and other time off are provided consistent with relevant state law and Company policies.

For more detailed information on available benefits, please visit

jobs.CVSHealth.com/benefits

Required Qualifications
2-3 years of experience in SQL working with big data platforms (e.g., HDP, AWS, GCP, etc.) and multiple data sources

• 2-3 years of experience developing dashboards using any visualization tools such as Tableau
• Strong verbal/written communication and data presentation skills. Must be able to explain technical concepts and analysis clearly to a diverse audience
• 2-3 years of experience with Python, GitHub preferred, and proficiency in most areas of mathematical analysis methods, statistical analyses, and predictive modeling and in-depth specialization in some areas.

Preferred Qualifications

• Masters in statistics, research, advance analytics
• Healthcare sector experience
• Familiarity with agile frameworks

Education

• Bachelor's degree or equivalent work experience in Mathematics, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or related discipline.
• Master’s degree or PhD preferred

Business Overview
Bring your heart to CVS Health Every one of us at CVS Health shares a single, clear purpose: Bringing our heart to every moment of your health. This purpose guides our commitment to deliver enhanced human-centric health care for a rapidly changing world. Anchored in our brand — with heart at its center — our purpose sends a personal message that how we deliver our services is just as important as what we deliver. 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. 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.