<h2>Position Summary...</h2><h2>What youll do...</h2>Job Summary: Chance to work on financial data Gen AI and forecasting for large-scale retail problems/challenges. Utilize Generative AI methods, deep learning architectures, and state-of-the-art techniques to build and deploy advanced forecasting systems and intelligent NLP applications for retail and e-commerce. What youll do: <ul><li>Lead high-caliber team to build large-scale time series forecasting systems</li><li>Integrate Global forecasting models (e.g., Temporal Fusion Transformers, Nbeats) to enhance forecasting precision and generate synthetic time series data for better model training.</li><li>Develop data science systems and tools for retail ; e-commerce applications:</li><li>Leverage LLMS to summarize and build large scale chat applications</li><li>Train large scale neural networks and deploy them as a automated batch pipelines using airflow.</li><li>Deploy large scale forecasting pipelines modeling thousands of time series using batch pipelines</li><li>Establish cross-functional relationships to maintain win-win situation for the corporation</li><li>Collaborate with various product stake holders and business owners to formulate and productionize a solution.</li></ul> What youll bring: <ul><li>Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 5+ years experience in an analytics related field.</li></ul> Must have qualifications <ul><li>Deep understanding of optimization theory, the inner working of neural network, attention architecture</li><li>Proven track record of solving large scale business problems using neural networks utilizing distributed</li><li>Demonstrate ability of research in previous work experience.</li><li>Familiar with common DL packages and ML packages such as Pytorch, Keras, Tensorflow, Scikitlearn and statsmodels.</li><li>Strong software development skills in languages such as Python, SQL, R, Scala, Java</li></ul> Great to have <ul><li>Experience with Big Data processing and feature engineering using Spark or Ray</li><li>Experience with training machine learning models through Cloud Services including Google Cloud Platform and Microsoft Azure</li><li>Hands on experience of designing and training large DL models on GPU farm</li><li>Knowledge on LLM is a plus</li></ul> Behavior qualifications <ul><li>Problem solver with can-do attitude, not afraid of facing new problems, technical challenges, delivery pressures</li><li>Ability to clearly define problems, models and constraints from informal and flexible business requirements</li><li>Tech leadership with teamwork spirit, quick adaptation to new environment</li></ul> About Walmart Global Tech: Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. Thats what we do at Walmart Global Tech. Were a team of software engineers, data scientists, cybersecurity experts and service professionals within the worlds leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people-led and tech-empowered. We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail. 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 Statement: 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 unique styles, experiences, identities, ideas and opinions while being inclusive of all people.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 <a target="_blank" href="https://one.walmart.com/notices">https://one.walmart.com/notices</a>.‎ ‎ Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sams Club facilities. Programs range from high school completion to bachelors 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 <a href="https://bit.ly/3iOOb1J" target="_blank">One.Walmart</a>.‎ Sunnyvale, California US-04396:The annual salary range for this position is $143,000.00-$286,000.00‎ Bentonville, Arkansas US-09050:The annual salary range for this position is $110,000.00-$220,000.00‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ Additional compensation includes annual or quarterly performance bonuses.‎ Additional compensation for certain positions may also include:‎ ‎ - Stock‎ ‎ <h2></h2><h2>Minimum Qualifications...</h2>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<h2></h2><h2>Preferred Qualifications...</h2>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.<h2></h2><h2>Primary Location...</h2>805 Se Moberly Ln, Bentonville, AR 72712, United States of AmericaWalmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.

Walmart

(USA) Staff, Data Scientist

Walmart

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