Principal, Data Scientist – Finance Technology

Principal, Data Scientist – Finance TechnologyPrincipal, Data Scientist – Finance TechnologyGet AI-powered advice on this job and more exclusive features.Direct message the job poster from WalmartSenior Talent Acquisition Leader & Business Partner****immigration support is not available for this role*****Join Walmart as Principal, Data Scientist – Finance Technology in our Global Technology EBS team. Your work could help over 240 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 belonging, sustainability, and community involvement. From day one, you’ll be empowered and equipped to do the best work of your life.Walmart’s Enterprise Business Services (EBS) is a powerhouse of seven exceptional teams delivering world-class technology solutions and services making a profound impact at every level of Walmart. As a key part of Walmart Global Tech, our teams set the bar for operational excellence and leverage emerging technology to support millions of customers, associates, and stakeholders worldwide. Joining EBS means embarking on a journey of limitless growth, relentless innovation, and the chance to set new industry standards that shape the future of Walmart.About the TeamOur team collaborates closely with Finance teams to enhance financial planning and strategic decision-making through cutting-edge data-driven solutions. We specialize in a range of initiatives, including advanced time series forecasting, which provides actionable insights into trends and patterns, and leveraging Generative AI (GenAI) to produce concise, insightful summaries that empower decision-makers. By integrating these innovative approaches, we strive to drive efficiency, accuracy, and impactful outcomes in financial operations.What You'll DoUtilize deep learning methods and architectures to build and deploy state-of-the-art forecasting systems. Will also be working on causal inference problems for scenario-based adjustment.Lead high-caliber team to build large-scale time series forecasting systemsIntegrate Global forecasting models (e.g., Temporal Fusion Transformers, Nbeats) to enhance forecasting precision and generate synthetic time series data for better model training.Develop data science systems and tools for retail ; e-commerce applications:Leverage LLMS to summarize and build large scale chat applicationsTrain large scale neural networks and deploy them as a automated batch pipelines using airflow.Deploy large scale forecasting pipelines modeling thousands of time series using batch pipelinesEstablish cross-functional relationships to maintain win-win situation for the corporationCollaborate with various product stake holders and business owners to formulate and productionize a solution.What You'll BringMasters degree or PHD in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 7 years experience in an analytics related field.Deep understanding on neural networks, attention architecture and other DL and ML concepts. Familiar with statistical models, such as linear models, generalized linear models, experiment design, and testing. Experience working with optimization problemProven records of solving business problems using deep learning and machine learning methods.Familiar with some of the DL packages such as Pytorch, Keras, TensorflowStrong software development skills in languages such as Python, SQL, R, Scala, JavaExperience in involving in deployment and production process.Experience working with cross-functional teams, such as engineering and product teams.Experience with Big Data processing and feature engineering using SparkExperience with training machine learning models through Cloud Services including Google Cloud Platform and Microsoft AzureHands on experience of designing and training large DL models on GPU farmCausal inference expertise and experiencesKnowledge on LLM is a plusAbout Walmart Global TechImagine working in an environment 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 expert's and service professionals within the world’s 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.Flexible, hybrid work:We use a hybrid way of working that is primarily in office coupled with virtual when not onsite. Our campuses serve as a hub to enhance collaboration, bring us together for purpose and deliver on business needs. This approach helps us make quicker decisions, remove location barriers across our global team and be more flexible in our personal lives.Beyond competitive pay, 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 EmployerWalmart, 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.Seniority levelSeniority levelMid-Senior levelEmployment typeEmployment typeFull-timeJob functionJob functionInformation TechnologyIndustriesRetailReferrals increase your chances of interviewing at Walmart by 2xInferred from the description for this jobMedical insuranceVision insurance401(k)Paid maternity leavePaid paternity leaveGet notified when a new job is posted.Sign in to set job alerts for “Data Scientist” roles.Mountain View, CA $110,000.00-$160,000.00 3 weeks agoData Science Graduate (TikTok-Product-Data Science) - 2025 Start (MS)San Jose, CA $114,000.00-$177,777.00 3 days agoSan Jose, CA $109,000.00-$192,400.00 3 days agoSan Jose, CA $109,000.00-$192,400.00 2 weeks agoSan Jose, CA $123,500.00-$212,850.00 1 month agoMountain View, CA $141,000.00-$202,000.00 4 days agoMenlo Park, CA $114,000.00-$171,000.00 2 weeks agoData Science, Product Strategic AnalysisMountain View, CA $132,000.00-$189,000.00 4 days agoFremont, CA $145,000.00-$204,000.00 2 weeks agoSan Jose, CA $123,500.00-$212,850.00 1 month agoMountain View, CA $141,000.00-$202,000.00 4 days agoMenlo Park, CA $181,184.00-$196,900.00 4 hours agoMountain View, CA $136,301.00-$172,486.00 2 weeks agoSan Jose, CA $100,000.00-$165,000.00 2 weeks agoSan Jose, CA $123,500.00-$212,850.00 1 month agoPalo Alto, CA $200,000.00-$300,000.00 1 month agoSan Jose, CA $144,000.00-$329,000.00 1 week agoSunnyvale, CA $145,000.00-$204,000.00 2 weeks agoSan Jose, CA $123,500.00-$212,850.00 3 weeks agoData Scientist, Research, Core Compute AnalyticsSunnyvale, CA $166,000.00-$244,000.00 2 weeks agoSan Jose, CA $144,000.00-$240,000.00 1 week agoSunnyvale, CA $164,000.00-$268,000.00 2 weeks agoSan Jose, CA $123,500.00-$212,850.00 1 week agoBurlingame, CA $182,583.00-$196,900.00 4 hours agoWe’re unlocking community knowledge in a new way. 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