Senior Data Scientist - Retail Analytics
Senior Data Scientist - Retail Analytics
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$ 111240 - 222480
1 Vacancy
Job Description
At CVS Health were building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care.
As the nations leading health solutions company we reach millions of Americans through our local presence digital channels and more than 300000 purposedriven 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.
Position Description
The Retail Analytics team is helping lead the effort to drive improved consumer experience by partnering with key business areas across CVS Health to deliver impactful analytic solutions and insights. As a member of the Analytics & Behavior Change (A&BC) Merchandising Analytics team you will be at the forefront of delivering high visibility projects for key strategic priorities. Specifically you will have the opportunity to drive revenue and customer satisfaction in CVS Healths Front Store business by using data science to support a product assortment that better fits the needs of our customers.
In this role you will have the opportunity to solve complex problems build predictive models and optimize assortment decisions working crossfunctionally with a range of technical and nontechnical stakeholders. We are a fastpaced team focused on building innovative advanced analytics solutions using cloud capabilities. We are looking for individuals who have a keen sense of ownership accountability and a desire to deliver high quality work.
Required Qualifications
Bachelors degree in a quantitative field such as Engineering Mathematics Computer Science Statistics or a related field
3 years of work experience in an applied data science and analytics or ML role
3 years of experience in SQL and Python
1 years of experience using GitHub or GitLab for code collaboration
Preferred Qualifications
Masters degree in a quantitative field
Retail domain knowledge and basic understanding of assortment concepts
Experience working with large datasets analyzing data and extracting meaningful insights
Experience with optimization tools
A strong drive to explore data and make a business impact by applying data science and the curiosity to dive deep
Ability to communicate technical concepts to nontechnical audiences including experience creating communication materials (e.g. white paper slide decks etc.
Anticipated Weekly Hours
40Time Type
Full timePay Range
The typical pay range for this role is:
$111240.00 $222480.00This pay range represents the base hourly rate or base annual fulltime 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 shortterm 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 people
We 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.
Nocost 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.
For more information visit anticipate the application window for this opening will close on: 05/25/2025 Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal state and local laws.
Required Experience:
Senior IC
Employment Type
Full-Time
