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.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
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- 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, build customer profile 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
- 4+ years of working experience using ML algorithms and 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
- Experience in advertising and marketing analytics
- Experience in measurement of multi-channel marketing and Geo-based experimental design
- Experience with product development
- 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
40Time Type
Full timePay Range
The typical pay range for this role is:$111,240.00 - $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.