Job Description

Position Summary... What you'll do... Are you ready to help transform the Retail Business? Do you love to learn from data and experiments? Do you want to be a part of our AI/ML success story? If yes, then this is that team where magic happens. We are looking for experienced Data Scientists who have a penchant for challenging status quo, constantly innovating, experimenting and communicating the business-critical outcomes effectively with leaders and multiple business partners. The Staff Data Scientist – AI/ML Experimentation, is a critical thought-leadership role, uses cutting edge machine learning and statistics techniques to do experimentation and learning for our company’s continued success. Reporting to the Director, Data Science, the ideal candidate will have a strong background in design of experiments, measurement, statistics, machine learning and data mining. Will also be able to communicate effectively with both technical and non-technical audiences. About the Team: The Retail Intelligence team is transforming the Retail business by reimagining existing business processes and incorporating ML/AI activations to achieve increased Customer and Associate engagement. The AI/ML Experimentation team, as part of the wider Retail Intelligence organization will be responsible for data/ business process mapping/discovery, value mapping ML/AI activations, rapid prototyping of ML/causal inference models, designing experiments and measurement of success metrics. What You’ll Do: - Partner with Science Management and Strategy teams to identify, design, develop, and execute experiments to improve AI/ML products or services. - Define success metrics for various AI/ML initiatives; analyze data from experiments and/or simulation models to identify and quantify the impact of changes. - Guide AI/ML adoption and roll out strategy by communicating the results of experiments to key strategic leaders and multiple stakeholders. - Identify dimensions and designs of experiments and create test and learn frameworks. - Conducts exploratory data analysis activities (for example, basic statistical analysis, hypothesis testing, statistical inferences) on available data. - Develop newer techniques (for example, advanced machine learning algorithms, auto ML) by leveraging the latest trends in machine learning, artificial intelligence to train algorithms to apply models to new data sets. - Guide the team on experimentation and advanced techniques to be used for complex problems; Build a culture of innovation to stay up to date on the latest experimentation techniques and best practices. What you’ll Bring... - At least 6+ years of experience in statistics, design of experiments, A/B testing, causal inference - Experience with DOE software (e.g., Minitab, JMP, Design-Expert) and experimentation platforms such as (e.g., Google Optimize, Optimizely) - Experience with running simulations for experimental design - Experience in applying data science and machine learning to solve business problems. - Experience with Python, SQL, PySpark and cloud-based tools such as Big Query, Databricks - Experience with Data science and ML packages such as Do/why, scikit-learn, pandas, NumPy etc., - You’re a storyteller - a master at making complex subjects easily understood through compelling stories and visuals. - Experience in end-to-end model development and deployment lifecycle i.e., from prototyping to model development, ML Ops and putting models into production. The above information has been designed to indicate the general nature and level of work performed in the role.  It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job. The full Job Description can be made available as part of the hiring process. About Walmart Supply Chain: 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? ​​​​ Future Ways of Working: Our company's success can be attributed to our employees. While technology has allowed us to be effective while working remotely, there is no substitute for being in the office together; it helps to shape our culture, collaborate, innovate, build relationships, and move more quickly. We strive to provide flexibility to promote a healthy work-life balance but recognize that in-person interactions are important to our culture and shared success. We'll meet in person on a regular and purposeful basis. 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. careers.walmart.com  Benefits: Benefits: Beyond our great compensation package, 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. 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) Primary Location...702 SW 8TH ST, BENTONVILLE, AR 72716, United States of America