Wal-Mart-posted about 1 month ago
$117,000 - $234,000/Yr
Full-time • Mid Level
Onsite • Sunnyvale, CA
5,001-10,000 employees
General Merchandise Retailers

Position Summary... What you'll do... "Immigration sponsorship is not available in this role." Our Company If you're thinking 'scale', think bigger and don't stop there. At Walmart Labs, we don't just innovate, we enable transformations across stores and different channels for the Walmart experience. We innovate to deliver a simple and seamless experience for our customers. Our tech talent solves the biggest and most complex problems. They drive digital transformation where data science and analytics are enabling us to better serve our customers and create a digital relationship with them. As our customers evolve and adapt, we are taking it a few notches further here. We're changing what customers can expect from the experience of shopping, from the physical stores, to mobile social and even online; we're not just ready for the future of shopping, we're creating it. Our Team Market Intelligence (MINT) team at Walmart Global Tech delivers on the promise of EDLP (Every Day Low Prices) to our customers. It is focused on generating actionable insights for pricing, assortment, marketing optimization purpose for stores and e-commerce business across geographies leveraging market intelligence. Our systems are built leveraging cutting edge open-source technologies. Your Opportunity To fulfill the charter of MINT, there is need for top notch talent in the Data Sciences space. You would be working on challenging problems in NLP leveraging Machine Learning and Deep Learning Techniques to generate tangible and immediate business impact. About Team: Our team works closely with our US stores and eCommerce business to better serve customers by empowering team members, stores, and merchants with technological innovation. From groceries and entertainment to sporting goods and crafts, Walmart U.S. offers an extensive selection that our customers value, whether they shop online at Walmart.com, through one of our mobile apps, or in-store. Focus areas include customers, stores and employees, in-store service, merchant tools, merchant data science, and search and personalization. What you'll do: Your Responsibility As a Senior Data Scientist for Walmart Labs, you'll be required to shape and deliver on the MINT data sciences charter.

  • Analytical Modeling: Exploratory data analysis methods and techniques including Python string operations like Json Parsing and regex, data pipeline using pandas. ML Model framework including Advanced statistical models (e.g. Linear models, Bayesian inference, SVM, Random Forest, GBM etc.). Deep learning models (e.g. MLP, LSTM, CNN, Transformers, genAI LLM like GPT, llama, Gemini) Programming languages like Python, and deep learning framework like PyTorch.
  • Model Assessment & Validation - ML Model training, LLM fine-tuning, and validation techniques. Evaluation metrics like Precision / Recall.
  • Model Deployment & Scaling - deploy deep learning model (e.g. Transformers model) in cloud, GPU optimization, load testing,
  • Data Visualization: Generates appropriate graphical representations of data and model outcomes under guidance. Supports the understanding of customer requirements and designs data representations for simple data sets. Presents to and influences the team using the appropriate frameworks and conveys messages through basic business understanding.
  • Master's Degree with > 4+ years of relevant experience OR PhD with > 2+ years of relevant experience in Computer Science, Statistics, Information Technology, Operations Research, or a related field
  • Hands-on experience in NLP, machine learning and deep learning techniques, open-source frameworks.
  • Knowledge of experimental design (A/B testing)
  • 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)
  • 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.
  • 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.
  • 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.
  • 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.
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