Staff Data Scientist - Walmart Connect - Omnichannel Marketing and Data-Driven Solutions

Join the Walmart Connect Team as a Staff Data Scientist Are you passionate about using data to drive business growth and solve complex challenges? Do you have a knack for developing and improving marketing measurement strategies? If so, we want to hear from you! Walmart Connect is seeking a highly skilled Staff Data Scientist to join our team and help reimagine the way we empower suppliers and sellers/marketplaces with cutting-edge omnichannel marketing and measurement tools. About Walmart Connect Walmart Connect is a leading retail media network that helps brands reach and engage with customers across multiple channels, including online, in-store, and through our e-commerce platform. Our mission is to provide innovative and effective marketing solutions that drive business results for our partners. We're committed to using data and technology to deliver personalized and impactful advertising experiences that resonate with our customers. Job Summary As a Staff Data Scientist at Walmart Connect, you will play a critical role in leading the adoption of our marketing and measurement products across consumer segments. You will develop and improve display advertising measurement strategies, define vision and strategies for measurement methodologies, and build collaborative relationships with key partners. Your expertise in data science, analytics, and marketing will help drive business growth and inform strategic decision-making. Key Responsibilities Develop and improve display advertising measurement strategies across income lift, artificial control groups, ghost ads, MMM, MTA, A/B testing, and other areas Define vision and strategies for display advertising measurement methodologies, using domain expertise, internal and external best practices, identifying market opportunities, building business cases, and approving objectives Build collaborative relationships with key partners by aligning priorities with business goals, communicating and prioritizing product roadmaps, and gaining buy-in from executive management Manage product roadmaps, align business and technical needs, determine rollout strategies, and manage risks Continuously engage with senior management and stakeholders to ensure alignments and manage interdependencies Explain complex modeling methods in simple terms and develop compelling narratives that connect modeling results with business problems Partner with cross-functional teams to streamline data generation solutions Integrate disparate data sources and leverage modern analytics best practices to deliver integrated actionable insights to partners and senior management around digital advertising optimization Present media insights and recommendations to different levels of senior clients Requirements To be successful in this role, you will need: A Master's degree in Computer Science, Statistics, Economics, Operations Research, Engineering, or a related field 6+ years of industry experience in data science, measurement, marketing strategy & analytics, Ad-Tech, Mar-Tech, or related fields Proficient coding skills (SQL/Python/R) and database knowledge Experience in building measurement solutions, including income lift, ghost ads, market mix, and multi-touch attribution models; extensive experience with predictive modeling algorithms Experience in product control, or a related field Strong project management skills, including managing technical resources and multiple priorities & milestones A passion for working in a fast-paced agile environment A collaborative attitude and a sense of curiosity Sound business judgment, as well as the ability to think clearly, analyze quantitatively, problem-solve, scope technical requirements, and prioritize Strong oral and written communication skills, with the ability to persuade others internally and externally Preferred Qualifications We would love it if you also had: A Ph. D. degree in Statistics, Economics, Operations Research, or a related field Experience in end-to-end product delivery, self-serve platforms, design, user experiences, automation, optimizations, and data analytics What We Offer At Walmart, we offer competitive pay, performance-based incentive awards, and a range of benefits to support your well-being and financial security. Our benefits include: Medical, vision, and dental coverage 401(k) and stock purchase plans Organization-paid life insurance PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting Short-term and long-term disability Organization discounts Military Leave Pay Adoption and surrogacy rate reimbursement We also offer a range of learning and development opportunities, including: Walmart-paid education advantage programs for full-time and part-time associates in Walmart and Sam's Club facilities Programs vary from high school completion to bachelor's degrees, including English Language Learning and short-form certificates Why Join Walmart Connect? At Walmart Connect, we're passionate about using data and technology to drive business growth and deliver innovative marketing solutions. As a Staff Data Scientist, you'll have the opportunity to: Work on complex challenges and develop cutting-edge solutions Collaborate with cross-functional teams to drive business growth Develop and improve marketing measurement strategies that inform strategic decision-making Present media insights and recommendations to senior clients How to Apply If you're excited about this opportunity and have the skills and experience we're looking for, we'd love to hear from you! Please submit your application, including your resume and a cover letter, to [insert contact information]. We can't wait to hear from you! Equal Employment Opportunity Walmart is an equal opportunity employer committed to hiring a diverse and talented workforce. We welcome applications from qualified candidates of all backgrounds. Accommodations Walmart is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans. If you require an accommodation, please contact [insert contact information] for assistance.