Lowe's
Lead Principal Data Scientist - Marketing Measurement & Analytics
Lowe's, Charlotte, North Carolina, United States, 28245
Your Impact
We are on the lookout for an accomplished Lead Principal Data Scientist specializing in Marketing Measurement & Analytics to spearhead the design and execution of innovative analytical frameworks aimed at enhancing marketing investments, personalizing customer interactions, and fostering comprehensive measurement across the enterprise. This role is situated at the crucial intersection of marketing strategy, advanced analytics, and data engineering. The perfect candidate will possess extensive technical expertise, demonstrated thought leadership, and practical experience to create, implement, and scale measurement solutions across various channels and applications.
Create the Future of Retail Tech
As a distinguished leader within the data science space, you will influence the trajectory of retail technology under the guidance of one of Forbes’ Top 50 CIOs. You will also manage a skilled team that shares your enthusiasm for innovation and operational excellence. With over a century of experience, we are well-positioned to focus on the future and take your team along for the journey. You will collaborate with forward-thinking peers who inspire you and challenge your ideas. We are committed to fostering an inclusive culture by engaging diverse talents and tackling challenges with fresh perspectives.
Innovate in Charlotte
This position is based at our on-site Tech Hub in Charlotte, North Carolina. Lowe's Tech Hub boasts an ultramodern work environment, equipped with state-of-the-art technology, collaborative workspaces, an on-site barista, a Zen Garden, and other features designed to enhance your work experience.
Key Responsibilities
Marketing Measurement Leadership:
Direct the strategy and implementation of cross-channel measurement frameworks (MMM, MTA, geo testing, incrementality testing, platform-based attribution) that guide marketing ROI, budget distribution, and campaign enhancement. Advanced Analytics for Personalization & Optimization:
Develop models for customer segmentation, CLV, propensity, and recommendations. Work alongside marketing teams to adopt data-driven personalization and targeting initiatives. Experimentation & Testing Frameworks:
Design and expand testing methodologies, such as A/B, geo-based, and quasi-experimental strategies utilizing ARIMAX and causal inference methods. Establish best practice standards enterprise-wide. Pricing & Promotion Analytics:
Conduct analytics to inform pricing and promotional strategies, which includes elasticity modeling, dynamic pricing, and personalized offer trials utilizing dual uplift methodologies. Data Integration & Platform Strategy:
Collaborate with data engineering and platform teams to scale analytics leveraging modern tech stacks (AWS, Azure, Snowflake, Databricks, Spark, CDPs). Utilize various BI and marketing tools (Adobe, Salesforce, Braze, AB Tasty, Optimizely). Stakeholder Engagement & Influence:
Act as a trusted advisor to marketing, loyalty, and digital teams. Transform complex analytics into actionable insights and guide strategic choices throughout the company. Cross-functional Collaboration:
Partner with data engineering, product, and business stakeholders to embed data science into essential marketing workflows and customer experiences. Required Qualifications Bachelor's Degree in a quantitative field such as mathematics, statistics, physics, economics, engineering, computer science, data or information science, or equivalent experience, alongside 8 years of experience in deploying data science, machine learning, deep learning, and generative AI solutions, particularly in enterprise settings (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 experience with SQL and familiarity with various statistical modeling or machine learning techniques. Preferred Skills/Experience Proven expertise in statistical modeling, econometrics, experimental design, and causal inference. Proficiency in R, Python, SQL, Spark, and Scala. Extensive technical knowledge of cloud and big data platforms (AWS, Azure, Snowflake, Databricks). Demonstrated success in implementing measurement frameworks across MMM, MTA, geo testing, and incrementality testing. Solid experience in customer segmentation, personalization, CLV modeling, and pricing/promotion analytics. Familiarity with marketing tools like Adobe, Salesforce, Braze, and testing platforms (e.g., Optimizely, AB Tasty). Exceptional communication skills to convey technical insights as business strategies and influence senior leadership. Experience in leading cross-functional teams in complex enterprise environments. Doctorate Degree in a quantitative field. 5 years of proficiency in conducting predictive analytics at a large scale. 5 years of experience navigating multiple data systems and sources. Benefits 401k with up to a 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 Lowe's official website. About Lowe's Lowe's Companies, Inc. is a FORTUNE 100 home improvement company, facilitating around 16 million customer transactions weekly across the United States. With sales exceeding $83 billion in fiscal year 2024, Lowe's operates over 1,700 home improvement stores and employs approximately 300,000 associates. Based in Mooresville, N.C., Lowe's supports communities through programs emphasizing safe housing, enhancing community spaces, fostering future skilled trades, and providing disaster relief. For more information, visit Lowe's official site. Lowe's is an equal opportunity employer and pledges to practice personnel actions fairly without discrimination based on race, color, religion, sex, gender, age, ancestry, nationality, disability, sexual orientation, gender identity, marital status, military or veteran status, genetic information, or any other category protected by law. Salary Range:
$142,400.00 - $270,600.00 annually. Starting pay may vary based on factors including, but not limited to, position offered, location, education, training, and experience.
Direct the strategy and implementation of cross-channel measurement frameworks (MMM, MTA, geo testing, incrementality testing, platform-based attribution) that guide marketing ROI, budget distribution, and campaign enhancement. Advanced Analytics for Personalization & Optimization:
Develop models for customer segmentation, CLV, propensity, and recommendations. Work alongside marketing teams to adopt data-driven personalization and targeting initiatives. Experimentation & Testing Frameworks:
Design and expand testing methodologies, such as A/B, geo-based, and quasi-experimental strategies utilizing ARIMAX and causal inference methods. Establish best practice standards enterprise-wide. Pricing & Promotion Analytics:
Conduct analytics to inform pricing and promotional strategies, which includes elasticity modeling, dynamic pricing, and personalized offer trials utilizing dual uplift methodologies. Data Integration & Platform Strategy:
Collaborate with data engineering and platform teams to scale analytics leveraging modern tech stacks (AWS, Azure, Snowflake, Databricks, Spark, CDPs). Utilize various BI and marketing tools (Adobe, Salesforce, Braze, AB Tasty, Optimizely). Stakeholder Engagement & Influence:
Act as a trusted advisor to marketing, loyalty, and digital teams. Transform complex analytics into actionable insights and guide strategic choices throughout the company. Cross-functional Collaboration:
Partner with data engineering, product, and business stakeholders to embed data science into essential marketing workflows and customer experiences. Required Qualifications Bachelor's Degree in a quantitative field such as mathematics, statistics, physics, economics, engineering, computer science, data or information science, or equivalent experience, alongside 8 years of experience in deploying data science, machine learning, deep learning, and generative AI solutions, particularly in enterprise settings (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 experience with SQL and familiarity with various statistical modeling or machine learning techniques. Preferred Skills/Experience Proven expertise in statistical modeling, econometrics, experimental design, and causal inference. Proficiency in R, Python, SQL, Spark, and Scala. Extensive technical knowledge of cloud and big data platforms (AWS, Azure, Snowflake, Databricks). Demonstrated success in implementing measurement frameworks across MMM, MTA, geo testing, and incrementality testing. Solid experience in customer segmentation, personalization, CLV modeling, and pricing/promotion analytics. Familiarity with marketing tools like Adobe, Salesforce, Braze, and testing platforms (e.g., Optimizely, AB Tasty). Exceptional communication skills to convey technical insights as business strategies and influence senior leadership. Experience in leading cross-functional teams in complex enterprise environments. Doctorate Degree in a quantitative field. 5 years of proficiency in conducting predictive analytics at a large scale. 5 years of experience navigating multiple data systems and sources. Benefits 401k with up to a 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 Lowe's official website. About Lowe's Lowe's Companies, Inc. is a FORTUNE 100 home improvement company, facilitating around 16 million customer transactions weekly across the United States. With sales exceeding $83 billion in fiscal year 2024, Lowe's operates over 1,700 home improvement stores and employs approximately 300,000 associates. Based in Mooresville, N.C., Lowe's supports communities through programs emphasizing safe housing, enhancing community spaces, fostering future skilled trades, and providing disaster relief. For more information, visit Lowe's official site. Lowe's is an equal opportunity employer and pledges to practice personnel actions fairly without discrimination based on race, color, religion, sex, gender, age, ancestry, nationality, disability, sexual orientation, gender identity, marital status, military or veteran status, genetic information, or any other category protected by law. Salary Range:
$142,400.00 - $270,600.00 annually. Starting pay may vary based on factors including, but not limited to, position offered, location, education, training, and experience.