Senior, Data Scientist

Senior, Data Scientist - Social Commerce
As the Senior Data Scientist - Social Commerce , you are responsible for providing insights and actionable recommendations through pattern recognition, Controlled Experiments and Causal Inference models to drive measurable marketing performance within all of Walmart's Social Commerce channels. You will help develop a holistic understanding of how product categories, marketing channels and other business levers work together to grow customer engagement, drive incremental sales, and contribute to longer term strategic objectives. You will collaborate with Marketing, Product and Engineering to develop relevant solutions and timely insights which inform marketing strategy and enable data-driven decision making. Walmart Marketing is a dynamic, multidimensional organization dedicated to redefining how the world shops through impactful creative and fast-paced innovation - all grounded in customer insights and brand strategy. Named Ad Age's Marketer of the Year in 2022, you'll join an internationally recognized team of thinkers, creators, and problem solvers passionate about helping people save money and live better.
You must reside or be willing to relocate within a reasonable driving distance to one of our hubs: We are transitioning towards a model where associates are expected to be present in the office 2 to 3 days each week, while still allowing for some level of flexibility.
Analyzing large and complex datasets to identify trends, patterns, and insights to measure performance against competition and inform business growth opportunitiesResearching, creating, and implementing advanced statistical models and cutting-edge machine learning algorithms on fast-moving structured and unstructured data to support decision makingApplying quasi-experiment techniques/causal models where controlled experiments are not applicableUtilizing machine learning, time series analysis, and clustering, to generate predictive models or understanding customers to enhance marketing decision-makingLeading projects and take ownership of whole lifecycle of projects, communicate with cross-functional teams (e.g., to align progress and collaborate on integrationsUsing Walmart's vast 1st Party and 3rd Party data to analyze customer behavior, build compelling customer segments and activate audience targets to drive business performance across channels.Communicate findings and insights to both technical and non-technical stakeholders through clear and concise reports, visualizations and presentations to gain alignment and drive business actionsGuide and mentor junior data scientists on modeling process and algorithm and foster a collaborative and innovative work environment.You have strong grasp of statistical concepts including hypothesis testing, Bayesian inference, and causality.You have proven record of developing causal models using various machine learning algorithms, tailored to solve marketing challenges.You have in-depth understanding and experiences using machine learning libraries.You have experience contributing to a high-performance culture delivering multiple projects, priorities in a fast-paced and growing segment of Walmart ecommerce business.You have hands on experience and skill communicating complex quantitative information and insights to a broad audience of senior leaders & decision makers.Option 1- Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 6 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 4 years' experience in an analytics related field.Expert at SQL and Python - ability to manipulate large quantities of data to drive business decisions is a must.Solid knowledge of statistical concepts and experimentationProven advanced modeling experience in leading data-driven projects from definition to execution, driving and influencing project roadmapsStrong organizational skills, a strong sense of ownership and accountability, and the ability to lead projects, communicate effectively, and be a self-starter.Master of Business Administration or Master's Degree in Mathematics, Statistics, Computer Science, Engineering or related field.6+ years of experience in Marketing Analytics, Digital Analytics, or eCommerce Analytics with experience working with marketers to maximize marketing contribution to business performance goals.Knowledge of machine learning and AI techniques to build and implement models that optimize marketing performance.Rockstar data scientist who can come up with modeling/testing/statistical framework to answer ambiguous strategic questions from business stakeholders to then deliver data driven causal/observational insights that create aha moment driving the business ahead.Model productionalization, creation/maintenance of data pipelines and data lakes for use in the models is NOT a focus of this role and done in collaboration with engineering teams.Experience leveraging big data technologies (Hive/Hadoop) and modern data visualization tools (Tableau, ThoughtSpot, Looker) to blend data from multiple sources to help answer multi-dimensional business questions.Experience building and applying customer segmentation, cohort models and personas to actionable results.You have a passion for working in a fast-paced agile environment.Performance-based incentive awards401k with company matchDiscounted employee stock purchase planPaid parental leave,New surrogacy & adoption benefitsUnlimited Flex Time OffWorking alongside a diverse group of collaborative and innovative team membersOpportunity for growth and development across several areas of the Fortune 1 organizationAnd much more
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.
Join Walmart and your work could help over 275 million global customers live better every week. A career at Walmart is where the world's most complex challenges meet a kinder way of life. 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. careers.walmart.At Walmart, we offer competitive pay as well as performance-based incentive 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. 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. 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. Additional compensation includes annual or quarterly performance incentives.
Stock equity incentives
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.
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)