CVS Health
Sr Data Scientist - Marketing & Consumer Analytics
CVS Health, New York, New York, us, 10261
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.
Position Summary
We’re seeking a seasoned Senior Data Scientist to join our dynamic team. In this role, you will be instrumental in driving data-driven decision-making processes, leveraging advanced analytics, machine learning and statistical methodologies. If you are passionate about problem-solving by leveraging complex dataset and thrive in a collaborative, results-driven environment, we encourage you to apply for this exciting opportunity.
Job Summary
Lead the design, development, and enhancement of scalable data science solutions for CVS Pharmacy & Retail marketing from the start to the finish utilizing relevant tools and methodologies
Collaborating closely with cross-functional teams to translate ambiguous business problems into actionable analytics solutions
Develop models and algorithms to measure causal impact, analyze customer behavior and optimize marketing strategies
Take ownership of multiple analytics projects and present findings and insights to stakeholder in a clear and understandable manner
Synthesize ideas/proposals in writing and engage in productive discussion with internal and external peers and managers; Mentor junior data scientists on best practices, analytic & modeling techniques, processes, frameworks and KPIs; Stay updated with the latest data science techniques and tools
Location
Hybrid schedule in Wellesley/Boston, NYC, or Woonsocket RI - in office 3 days per week.
Required Qualifications
4+ years of working experience using analytics to solve product or business problems
Strong programming skills in Python, proficiency in SQL to extract and manipulate dataset from various databases
Significant experience working with predictive and statistical modeling, time-series analysis, inferential Bayesian statistics and causality analysis
Solid understanding in experimental design, measurement, and results interpretation
Strong ability to communicate technical concepts and implications to business partners
Attention to details and proven record of delivering impactful results in a fast-paced environment
Preferred Qualifications
Experience in advertising and marketing analytics
Experience in measurement of multi-channel marketing
Education
Bachelor's degree with a concentration in quantitative discipline - Statistics, Mathematics, Computer Science, Business Analytics, Engineering, Economics, or similar discipline
Master's degree or PhD in related discipline is preferred
Pay Range
The typical pay range for this role is:
$101,970.00 - $222,480.00
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 Benefits | CVS Health (https://jobs.cvshealth.com/us/en/benefits)
We anticipate the application window for this opening will close on: 12/18/2024
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.
We are an equal opportunity and affirmative action employer. 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.
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.
Position Summary
We’re seeking a seasoned Senior Data Scientist to join our dynamic team. In this role, you will be instrumental in driving data-driven decision-making processes, leveraging advanced analytics, machine learning and statistical methodologies. If you are passionate about problem-solving by leveraging complex dataset and thrive in a collaborative, results-driven environment, we encourage you to apply for this exciting opportunity.
Job Summary
Lead the design, development, and enhancement of scalable data science solutions for CVS Pharmacy & Retail marketing from the start to the finish utilizing relevant tools and methodologies
Collaborating closely with cross-functional teams to translate ambiguous business problems into actionable analytics solutions
Develop models and algorithms to measure causal impact, analyze customer behavior and optimize marketing strategies
Take ownership of multiple analytics projects and present findings and insights to stakeholder in a clear and understandable manner
Synthesize ideas/proposals in writing and engage in productive discussion with internal and external peers and managers; Mentor junior data scientists on best practices, analytic & modeling techniques, processes, frameworks and KPIs; Stay updated with the latest data science techniques and tools
Location
Hybrid schedule in Wellesley/Boston, NYC, or Woonsocket RI - in office 3 days per week.
Required Qualifications
4+ years of working experience using analytics to solve product or business problems
Strong programming skills in Python, proficiency in SQL to extract and manipulate dataset from various databases
Significant experience working with predictive and statistical modeling, time-series analysis, inferential Bayesian statistics and causality analysis
Solid understanding in experimental design, measurement, and results interpretation
Strong ability to communicate technical concepts and implications to business partners
Attention to details and proven record of delivering impactful results in a fast-paced environment
Preferred Qualifications
Experience in advertising and marketing analytics
Experience in measurement of multi-channel marketing
Education
Bachelor's degree with a concentration in quantitative discipline - Statistics, Mathematics, Computer Science, Business Analytics, Engineering, Economics, or similar discipline
Master's degree or PhD in related discipline is preferred
Pay Range
The typical pay range for this role is:
$101,970.00 - $222,480.00
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 Benefits | CVS Health (https://jobs.cvshealth.com/us/en/benefits)
We anticipate the application window for this opening will close on: 12/18/2024
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.
We are an equal opportunity and affirmative action employer. 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.