About Walmart Connect  

At Walmart, we’ve led retail for over 60 years by keeping our customers’ needs at the center of everything we do. Our latest innovations leverage our online reach and massive network of physical stores to save 160 million weekly omnichannel customers time and money in ways no other retailer can match.   

Walmart Connect is building a robust in-house advertising business that’s key to Walmart’s growth strategy. We partner closely with brands on strategies and solutions that harness Walmart’s unparalleled omnichannel influence. We deliver relevant retail ads and experiences that connect our customers with the brands and products they love. And we use Walmart’s proprietary online and in-store data, encompassing 95% of American households, to measure campaign-correlated sales on our site and in our stores.   

Walmart isn’t simply the world’s most successful retailer — we’re the world’s largest company. This is a unique opportunity to be part of a high-visibility team backed by the most talented retail colleagues in the world and over six decades of success. Join us. 
 
As part of Walmart Connect, you’ll be part of building industry defining omni-channel retail analytics capabilities that enable brand advertiser to invest strategically, confidently, and effectively. If you are motivated by complex, purposeful challenges, this role at Walmart Connect could be the fit you’ve been looking for.  We are looking for a Senior Data Scientist, to drive advertiser media strategy and performance through advanced statistical modeling and machine learning techniques.  

In this fast-growing team, the Sr. Data Scientist will build predictive models, derive media insights, define statistically sound solutions including but not limited to lift analysis, experiment design, incrementality testing, marketing mix models, multi touch attribution, uplift targeting, automated optimization strategies, and advertiser-facing recommendations. This role combines science leadership, cross-functional collaboration, communication, strategic thinking, organizational ability, technical strength, product focus and business understanding. 

Location: Not remote. This position will work from our San Bruno, CA or Hoboken, NJ office location. Relocation assistance will be provided if needed. 

Responsibilities 

• Perform hands-on modeling and complex analyses using Python, SQL and/or R 

• Build and enhance media mix models to connect the impact of marketing tactics and business short-term and long-term outcomes 

• Experience in experimental design for use cases in Search and Display marketing, and experience building causal inference models 

• Run optimization and simulation scenarios to help provide the marketing investment and allocation recommendations to Marketing leadership and CMO 

• Present media mix insights 

• Explain complex modeling approaches in simple terms and develop compelling narratives that connect modeling results with business problems 

• Partner with cross-functional team to streamline data science solutions 

• Integrate disparate data sources and leverage state-of-the-art analytics best practices in order to deliver integrated actionable insights to partners and senior leadership around digital marketing optimization 

• Produce qualitative and quantitative data 

Minimum Qualifications 

• Bachelor’s degree in statistics/mathematics, engineering, computer science, economics, or related field 

• 5+ years of industry experience in data, analytics, data science role 

• Experience in advertising measurement, including MMM, MTA, A/B testing, and Experiment Design 

• Experience in Causal inference modeling 

• Proficient coding skills (SQL/Python/R)  

• Deep knowledge on relational database capabilities 

• Experience in integrating, structuring, and analyzing large amounts of data from diverse sources 

• Strong project management skills and attend-to-detail documentation skills. 

• Experience with big data technologies (Spark, Hive/Hadoop) and modern data visualization tools (Tableau, ThoughtSpot, Looker, etc) 

• Strong written & verbal communication with the ability to communicate complex technical topics clearly to a range of audiences and to ‘tell a story’ that provides insight into the business 

• You have a passion for working in a fast-paced agile environment. 

• A collaborative mindset and sense of curiosity 

 Preferred Qualifications 

• Master’s or PhD degree in statistics/mathematics, engineering, computer science, economics, or related field 

• Knowledge and experience in building market mix and multi-touch attribution models 

• Knowledge and experience with advertising technology platforms Ad servers, DSPs, DMPs, etc. 

• Knowledge and experience with advertising, measurement, and/or digital marketing analytics