Principal Data Scientist - Marketing Measurement & Data Science

Expand your career possibilities.

Thank you for dedicating your time and talent to Lowe’s. We want to give you more opportunities to learn and grow, so if you find a position you’re interested in below, we encourage you to apply!

Find Your Home to More Possibilities.

We are seeking a highly experienced Principal Marketing Measurement & Data Science 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 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. We know what it takes to build an inclusive culture – from collaborating with diverse and curious minds to approaching challenges with new perspectives.

This position is based at our on-site Tech Hub in Charlotte, North Carolina. Lowe's Tech Hub is an ultramodern work environment, complete with cutting‑edge technology, collaborative work spaces, an on‑site barista and Zen Garden, and other perks to enhance your work experience.

• Marketing Measurement Leadership 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.

• Advanced Analytics for Personalization & Optimization Develop and deploy models for segmentation, CLV, propensity, and recommendations. Collaborate with marketing teams to implement data‑driven personalization and targeting strategies.

• Experimentation & Testing Frameworks Architect and scale testing strategies, including A/B, geo‑based, and quasi‑experimental designs using ARIMAX and causal inference methods. Standardize best practices across the enterprise.

• Pricing & Promotion Analytics Drive analytics to support pricing and promotional decisions, including elasticity modeling, dynamic pricing, and personalized offer testing using dual uplift methodologies.

• Data Integration & Platform Strategy Collaborate with data engineering and platform teams to scale analytics using modern stacks (AWS, Azure, Snowflake, Databricks, Spark, CDPs). Leverage BI platforms and marketing tools (Adobe, Salesforce, Braze, AB Tasty, Optimizely).

• Stakeholder Engagement & Influence Serve as a trusted advisor to marketing, loyalty, and digital teams. Translate complex analytics into actionable insights and influence strategic decisions across the business.

• Cross‑functional Collaboration Partner with data engineering, product, and business stakeholders to integrate data science into key marketing workflows and customer experiences.

• 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 (fewer years may be accepted with a master’s or doctorate degree).

• 8 years of programming experience (fewer years may be accepted with a master's or doctorate degree).

• 5 years of SQL experience and knowledge of various statistical modeling or machine learning…