About the position
We are seeking a highly experienced Principal Marketing Measurement & Data Science Lead to drive the development and implementation of advanced analytical frameworks that optimize marketing investments, personalize customer experiences, and support enterprise-wide measurement. This role sits at the intersection of marketing strategy, advanced analytics, and data engineering. The ideal candidate will bring deep technical skills, thought leadership, and hands-on experience to design, execute, and scale measurement solutions across multiple channels and use cases. As a leader and data science expert, you’ll be able to shape the future of retail technology under the leadership of one of Forbes Top 50 CIOs, Seemantini Godbole. You’ll also be leading a talented team who share your passion for innovation and excellence. We’ve been around for over 100 years, so we’re not going anywhere. We have the stability you need to focus on looking to the future and bringing your team there with you. And you’ll be surrounded by peers who are visionaries in their areas – people who can collaborate with you to challenge you, help you grow, and inspire you.
Responsibilities
- Lead the strategy and execution of cross-channel measurement frameworks (MMM, MTA, geo testing, incrementality testing, platform-based attribution) to inform marketing ROI, budget allocation, and campaign optimization.
- Develop and deploy models for segmentation, CLV, propensity, and recommendations.
- Collaborate with marketing teams to implement data-driven personalization and targeting strategies.
- Architect and scale testing strategies, including A/B, geo-based, and quasi-experimental designs using ARIMAX and causal inference methods.
- Drive analytics to support pricing and promotional decisions, including elasticity modeling, dynamic pricing, and personalized offer testing using dual uplift methodologies.
- Collaborate with data engineering and platform teams to scale analytics using modern stacks (AWS, Azure, Snowflake, Databricks, Spark, CDPs).
- Serve as a trusted advisor to marketing, loyalty, and digital teams.
- Translate complex analytics into actionable insights and influence strategic decisions across the business.
- Partner with data engineering, product, and business stakeholders to integrate data science into key marketing workflows and customer experiences.
Requirements
- Bachelor's Degree in mathematics, statistics, physics, economics, engineering, computer science, data or information science, or related quantitative analytic field (or equivalent work experience in lieu of degree) and 8 years of experience executing and deploying data science, machine learning, deep learning, and generative AI solutions, preferably in a large-scale enterprise setting.
- 8 years of programming experience.
- 5 years of SQL experience and knowledge of various statistical modeling or machine learning techniques.
Nice-to-haves
- Proven expertise in statistical modeling, econometrics, experimental design, and causal inference.
- Proficiency in R, Python, SQL, Spark, and Scala.
- Deep technical fluency with cloud and big data platforms (AWS, Azure, Snowflake, Databricks).
- Demonstrated success in deploying measurement frameworks across MMM, MTA, geo testing, and incrementality testing.
- Strong experience in segmentation, personalization, CLV modeling, and price/promo analytics.
- Adept in marketing tools such as Adobe, Salesforce, Braze, and testing platforms (e.g., Optimizely, AB Tasty).
- Skilled communicator capable of translating technical insights into business strategy and influencing senior leaders.
- Experience leading cross-functional teams in matrixed enterprise environments.
- Doctorate Degree in mathematics, statistics, physics, economics, engineering, computer science, data or information science, or related quantitative analytic field.
- 5 years of experience performing predictive analytics at a large-scale enterprise.
- 5 years of experience using multiple data systems and sources.
Benefits
- 401k with up to 4.25% match
- Discounted Employee Stock Purchase Plan (15% discount of strike price)
- Tuition-Free Education
- 10-week Maternity/Parental Leave
- 10% Associate Discount
