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 tosave 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 roleat WalmartConnect could be the fit you've been looking for.We are looking for aSenior 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
At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more.
You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable.
For information about PTO, see https://one.walmart.com/notices.
Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.
For information about benefits and eligibility, see One.Walmart.
Hoboken, New Jersey US-10279:The annual salary range for this position is $108,000.00-$216,000.00 San Bruno, California US-08848:The annual salary range for this position is $117,000.00-$234,000.00
Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include:
- Stock
Minimum Qualifications...
Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.
Option 1- Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years' experience in an analytics related field. Option 2- Master's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 1 years' experience in an analytics related field. Option 3 - 5 years' experience in an analytics or related field.
Preferred Qualifications...
Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.
Data science, machine learning, optimization models, Master's degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch), We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart's accessibility standards and guidelines for supporting an inclusive culture.
Primary Location...
850 Cherry Avenue, San Bruno, CA 94066-3031, United States of America
About Walmart
At Walmart, we help people save money so they can live better. This mission serves as the foundation for every decision we make, from responsible sourcing to sustainability-and everything in between. As a Walmart associate, you will play an integral role in shaping the future of retail, tech, merchandising, finance and hundreds of other industries-all while affecting the lives of millions of customers all over the world. Here, your work makes an impact every day. What are you waiting for?
Walmart, Inc. is an Equal Opportunity Employer- By Choice. We believe we are best equipped to help our associates, customers, and the communities we serve live better when we really know them. That means understanding, respecting, and valuing diversity- unique styles, experiences, identities, abilities, ideas and opinions- while being inclusive of all people.
"At Walmart, we get the opportunity to grow professionally and personally-all while improving how we work and what we deliver to consumers." - Lola, Project Analyst
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