Director, Data Science – Promotions

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 Consumer Analytics team is playing a key role in transforming healthcare and driving improved consumer experience by collaborating with key business areas across CVS Health to deliver impactful analytic solutions and insights.

As a member of the Analytics & Behavior Change Pricing Analytics team, you will be at the forefront of delivering high-visibility analytic projects for key CVS Retail strategic priorities. Specifically, you will have the opportunity to drive revenue and customer satisfaction in CVS Health’s Front Store business by utilizing advanced analytic solutions to enhance merchandising and category promotion decisions. We are a fast-paced team focused on building innovative analytic solutions using AI/ML and cloud capabilities.

As the Director, Data Science you will be expected to collaborate with data engineering and business partners to build advanced AI models, optimization solutions, and recommendation engines using best-in-class cloud and AI platforms. You will be responsible for solving complex problems with the help of advanced analytical tools and solutions, ultimately improving the customer experience while balancing financial goals. We are seeking talented individuals who have a strong sense of ownership, accountability, and a desire to deliver high quality end to end intuitive and impactful analytic products using advanced data driven approaches.

The Director, Data Science will:

• Engage with business stakeholders to understand the fundamental challenges associated with planning and optimizing thousands of promotion events annually.

• Design and build both standard and advanced models, including econometric and machine learning-based approaches (e.g., elasticities, decision trees, random forest/XGBoost, graph neural networks, advanced forecasting, etc.), to achieve optimal outcomes for promotions.

• Lead a team of data scientists to achieve modeling goals, bring the best of the industry, and inspire innovation and efficient execution.

• Drive the development and implementation of best practices and standards for data analysis, modeling, and reporting within the analytics team.

• Collaborate with cross-functional teams, including Pricing, Personalization, Merchandising, and Finance, to understand business objectives and align promotional strategies with organizational goals.

• Join forces with the Data Engineering team to ensure the availability and integrity of data required for promotional analytics, ML ops for deployment, and identify opportunities for data integration, automation, and augmentation.

• Communicate complex analytical concepts and findings to non-technical stakeholders in a clear and concise manner and provide actionable recommendations for improving promotional strategies. Provide strategic guidance and recommendations to senior management based on data-driven insights and analysis.

**The target locations for this role are either Wellesley, MA, NYC area or in the northeast with monthly site travel, we are not looking to hire purely remote workers at this time.

Required Qualifications

• 7+ years of progressive experience in developing standard and advanced ML modeling techniques (e.g., Elasticities, Regression Models, Decision Trees, Neural Networks, Temporal Fusion Transformer etc.)

• 5+ years of coding in SQL, Python or similar.

• 5+ years of experience of end-to-end model development from ideation through solutions development and deployment/monitoring.

• 3+ years leading a team either directly or indirectly

• 7+ years of experience in member, retail,  consumer, promotion, or campaign analytics

Preferred Qualifications

• 10+ years of end-to-end experience leading model development in a retail context including pricing, promotions, campaigns, upsell, cross sell etc. through scaling to enterprise level

• Player coach that enjoys creating scale-able products alongside the team

• Strong ability to consult with the business and senior leadership to drive success and build relationships

• Understanding of merchandising or category management

Education

Advanced degree in any quantitative field required (Economics, Statistics , Science & Engineering)

PHD in any quantitative field required (Economics, Statistics , Science & Engineering) preferred

Pay Range

The typical pay range for this role is:

$144,200.00 – $288,400.00

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.  This position also includes an award target in the company’s equity award program. 
 
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

We anticipate the application window for this opening will close on: 04/26/2024

CVS Health requires certain colleagues to be fully vaccinated against COVID-19 (including any booster shots if required), where allowable under the law, unless they are approved for a reasonable accommodation based on disability, medical condition, religious belief, or other legally recognized reasons that prevents them from being vaccinated. 

You are required to have received at least one COVID-19 shot prior to your first day of employment and to provide proof of your vaccination status or apply for a reasonable accommodation within the first 10 days of your employment. Please note that in some states and roles, you may be required to provide proof of full vaccination or an approved reasonable accommodation before you can begin to actively work.

CVS Health is committed to recruiting, hiring, developing, advancing, and retaining individuals with disabilities. As such, we strive to provide equal access to the benefits and privileges of employment, including the provision of a reasonable accommodation to perform essential job functions. CVS Health can provide a request for a reasonable accommodation, including a qualified interpreter, written information in other formats, translation or other services through [email protected] If you have a speech or hearing disability, please call 7-1-1 to utilize Telecommunications Relay Services (TRS). We will make every effort to respond to your request within 48 business hours and do everything we can to work towards a solution.