CVS Health
Senior Data Scientist - Assortment
CVS Health, Albany, New York, us, 12237
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
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 Health’s 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 and build predictive models to help tailor product assortment to CVS’ customer base. You will work cross functionally with a range of technical and non-technical stakeholders, translating their business needs into problems to be solved using statistical modeling, machine learning, and optimization. This role provides excellent exposure to multiple businesses, category managers, and leaders across the organization. We are a fast-paced team focused on building innovative advanced analytics solutions using cloud capabilities. We are looking for individuals who have a strong sense of ownership, accountability, and a desire to deliver high quality and high impact products using advanced data driven approaches.
Required Qualifications
3+ years of work experience in a related field
Strong SQL skills and experience programming in Python
Experience using applied statistics and machine learning techniques
Experience working with large datasets, analyzing data, and extracting meaningful insights
Strong understanding of statistical data analysis
Preferred Qualifications
Experience with optimization tools
Understanding of assortment concepts such as substitutes, complements, and demand transfer
Understanding of segmentation and store clustering techniques
Retail domain knowledge and basic understanding of Category Management processes
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 non-technical audiences, including experience creating communication materials (e.g., white paper, slide decks, etc.)
Education
Bachelor’s degree in a quantitative field such as Engineering, Mathematics, Computer Science, Statistics, or a related field.
Master’s degree or PhD preferred
Pay Range
The typical pay range for this role is:
$101,970.00 - $203,940.00
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: 01/26/2025
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
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 Health’s 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 and build predictive models to help tailor product assortment to CVS’ customer base. You will work cross functionally with a range of technical and non-technical stakeholders, translating their business needs into problems to be solved using statistical modeling, machine learning, and optimization. This role provides excellent exposure to multiple businesses, category managers, and leaders across the organization. We are a fast-paced team focused on building innovative advanced analytics solutions using cloud capabilities. We are looking for individuals who have a strong sense of ownership, accountability, and a desire to deliver high quality and high impact products using advanced data driven approaches.
Required Qualifications
3+ years of work experience in a related field
Strong SQL skills and experience programming in Python
Experience using applied statistics and machine learning techniques
Experience working with large datasets, analyzing data, and extracting meaningful insights
Strong understanding of statistical data analysis
Preferred Qualifications
Experience with optimization tools
Understanding of assortment concepts such as substitutes, complements, and demand transfer
Understanding of segmentation and store clustering techniques
Retail domain knowledge and basic understanding of Category Management processes
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 non-technical audiences, including experience creating communication materials (e.g., white paper, slide decks, etc.)
Education
Bachelor’s degree in a quantitative field such as Engineering, Mathematics, Computer Science, Statistics, or a related field.
Master’s degree or PhD preferred
Pay Range
The typical pay range for this role is:
$101,970.00 - $203,940.00
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: 01/26/2025
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.