(USA) Staff, Data Scientist - Walmart Connect

Position Summary... What you'll do... About the Team As the leader of the ads measurement domain, you'll build industry defining retail media measurement methodology at scale that enable Walmart suppliers and sellers to reach shoppers with relevant ads and high performing campaigns while helping shoppers discover products to enhance their shopping journey. 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 Staff Data Scientist to help reimagine the way we empower Suppliers and Sellers/Marketplaces with best-in-class omni-channel advertising tools at scale. This role will lead the adoption of our advertising products across customer segments. Responsibilities • Developing and enhancing display ads measurement methodology across sales lift, synthetic control group, ghost ads, MMM, MTA, A/B testing, etc • Defining vision and strategies for display ads measurement methodologies, using domain expertise, internal and external best practices, identifying market opportunities, building business cases, and approving objectives • Building collaborative relationships with key partners by driving priorities aligned to business goals, communicating, and prioritizing product roadmaps, and gaining buy-in from executive leadership. • Manage product roadmaps, align business and technical needs, determine rollout strategy, and manage risks • Continuously engage with senior leadership and stakeholders to ensure alignment and manage interdependencies. • 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 • Present media insights and recommendations to different levels of senior clients You'll sweep us off our feet if... • You're comfortable influencing others, leading teams, managing stakeholders, getting buy-in from leadership, and communicating clearly. • You have a test and learn mentality and an agile way of working to improve your team's product. • You are resourceful, disciplined for execution, and have a can-do attitude. • You like digging into data and doing some analysis. • You're able to use metrics to improve performance. • You enjoy building strategy for increasing demand of your product. • You're excited about solving complex challenges. • You're customer-centric in spirit and in execution. • You have hands on experience of driving product adoption. • You have knowledge in Digital and Retail Media Advertising. • You have knowledge in Digital Ad Stack and Retail Media Advertising. Minimum Qualifications • Master's degree in data science statistics, economics, operations research, engineering, or 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 • Experienced in building measurement solutions such as sales lift, ghost ads, market mix, and multi-touch attribution models; Extensive experience with predictive modeling algorithms • Experience in product management, or related field • Strong project management skills, including managing technical resources and multiple priorities & milestones. • You have a passion for working in a fast-paced agile environment. • A collaborative mindset and sense of curiosity • Sound business judgment as well as ability to think clearly, analyze quantitatively, problem-solve, scope technical requirements and prioritize • Strong oral and written communication skills are crucial, proven ability to influence others internally and externally Preferred Qualifications • PhD degree in Statistics, Economics, Operations Research, or related field • Experience in end-to-end product delivery, self-serve platforms, design, customer experiences, automation, optimizations, and data analytics Benefits & Perks: Beyond competitive pay, you can receive incentive awards for your performance. Other great perks include 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, and much more. Equal Opportunity Employer 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, ideas and opinions - while being inclusive of all people. Who We Are? Join Walmart and your work could help over 275 million global customers live better every week. Yes, we are the Fortune #1 company. But you'll quickly find we're a company who wants you to feel comfortable bringing your whole self to work. A career at Walmart is where the world's most complex challenges meet a kinder way of life. Our mission spreads far beyond the walls of our stores. Join us and you'll discover why we are a world leader in diversity and inclusion, sustainability, and community involvement. From day one, you'll be empowered and equipped to do the best work of your life. https://careers.walmart.com 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 $132,000.00-$264,000.00 ‎ San Bruno, California US-08848:The annual salary range for this position is $143,000.00-$286,000.00 ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ 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: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics related field. Option 3: 6 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, PhD 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... 221 River St, Hoboken, NJ 07030, United States of America