Walmart

We use cutting edge machine learning, data mining and optimization algorithms on ad relevance, ranking and campaign optimization.. What you will have: You're experienced with traditional as well as modern machine learning/statistical techniques, including Regression, Classification, Ensemble Methods, Deep Learning and Reinforcement Learning.. 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.. 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

staff data scientist

Position Summary... What you'll do... The mission of the Advertising Technology organization is to advance Walmart eCommerce by driving higher value for our customers and vendor partners. Walmart is investing in building a world class advertising platform and the Ads team is responsible for defining and performance advertising products that drive discovery, sales, and profits. About the team: We are a highly motivated group of Big Data Geeks, Machine Learning Scientists and Applications Engineers, working in small agile group to solve sophisticated and high impact problems. We are building smart data systems that ingest, model, and analyze massive flow of data from online and offline user activity. We use cutting edge machine learning, data mining and optimization algorithms on ad relevance, ranking and campaign optimization. You'll make an impact by: Research, design, and implement data models and cutting edge algorithms on high-dimensional, fast-moving, unstructured and structured data. Process complicated and large scale datasets using distributed computing platform, extract insights from data, predict future trends, and optimize towards business metrics. Build advanced feature extraction algorithms that feed into various advertising applications, including audience targeting, relevance and ranking, measurement and optimization. Build machine learning and statistical models to predict or estimate key signals that are used to optimize advertising product performance. Run large scale statistical A/B testing to evaluate performance of machine learning and statistical models in advertising applications which serve hundreds of millions of impressions per day. Build compelling data visualizations and interactive dashboards for monitoring and sharing business insights internally and externally. What you will have: You're experienced with traditional as well as modern machine learning/statistical techniques, including Regression, Classification, Ensemble Methods, Deep Learning and Reinforcement Learning. You have strong implementation experience with Python preferred. You have strong hands-on skills in sourcing, cleaning, manipulating, and analyzing large volumes of data using distributed computing platform. You have a Ph.D. in a computational science with an emphasis in Machine Learning. You're experienced with end-to-end modeling projects emerging from research efforts. You have an excellent academic or industrial track record of proposing, conducting, and reporting results of original research, plus collaborative research with publications. 2+ years of experience mentoring junior data scientists or machine learning team. Plus if you have: You have experience in online advertising, recommender system, ranking, ecommerce or relevant areas. About Walmart Global Tech Imagine working where one line of code can make life easier for hundreds of millions of people. That's what we do at Walmart Global Tech. We're a team of software engineers, data scientists, cybersecurity experts and service professionals within the world's leading retailer who make epic impact and are leading the next retail disruption. People are why we innovate, and people power our innovations. Who We Are Join Walmart and your work could help approximately 220 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. Our mission spreads far beyond the walls of our stores. Here at the world's leading retailer, you can make career defining accomplishments, learn new skills, gain experience from virtually every industry and leverage your expertise to innovate at scale, impact millions and reimagine the future of retail. Discover why we are a world leader in technology, diversity and inclusion, sustainability and community involvement. careers.walmart.com. 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. 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. 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 at https://bit.ly/3iOOb1J . The annual salary range for this position is $143,000.00-$286,000.00 Additional compensation includes annual or quarterly performance incentives. Additional compensation for certain positions may also include: Regional Pay Zone (RPZ) (based on location) Stock equity incentives 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... 680 WEST CALIFORNIA AVENUE, SUNNYVALE, CA 94086-4834, United States of America

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