Principal Data Scientist

Your Impact
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.
 

Create the future of Retail Tech
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.
 

Innovate in Charlotte
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 workspaces, an on-site barista and Zen Garden, and other perks to enhance your work experience.
 

Key Responsibilities

• 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.

Required Qualifications

• 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 techniques

Preferred Skills/Experience
*We encourage you to apply even if you do not have all the preferred skills or experience. *

• 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

For information about our benefit programs and eligibility, please visit https://talent.lowes.com/us/en/benefits.
 

About Lowe’s
Lowe’s Companies, Inc. (NYSE: LOW) is a FORTUNE® 100 home improvement company serving approximately 16 million customer transactions a week in the United States. With total fiscal year 2024 sales of more than $83 billion, Lowe’s operates over 1,700 home improvement stores and employs approximately 300,000 associates. Based in Mooresville, N.C., Lowe’s supports the communities it serves through programs focused on creating safe, affordable housing, improving community spaces, helping to develop the next generation of skilled trade experts and providing disaster relief to communities in need. For more information, visit Lowes.com. #LI-81CLEE

Lowe’s is an equal opportunity employer and administers all personnel practices without regard to race, color, religious creed, sex, gender, age, ancestry, national origin, mental or physical disability or medical condition, sexual orientation, gender identity or expression, marital status, military or veteran status, genetic information, or any other category protected under federal, state, or local law.