Job Description

**Position Summary...** **What you'll do...** **What you'll do:** + Design and implement GenAI solutions to address intricate financial challenges in retail. + Develop and optimize data science models tailored for the retail and e-commerce sectors. + Deploy and maintain trained machine learning models in cloud environments, ensuring they deliver value to the business and customers. + Collaborate closely with business teams to identify opportunities and translate requirements into innovative technical solutions. + Lead the design and development of generative AI solutions, utilizing established techniques and creating custom algorithms when necessary. + Work closely with engineers and platform architects to integrate and deploy robust ML applications and systems. + Stay at the forefront of data science and machine learning advancements by continuously exploring and evaluating new technologies and methodologies. + Conduct advanced analyses to provide recommendations on the applicability and efficiency of product features. **What you'll bring:** + Extensive experience in data science, machine learning, or optimization models. + Proficiency in working with Large Language Models (LLMs), GenAI, and tools like OpenAI packages and LangChain framework. + Strong programming skills in Python, Spark, Scala, or R, with hands-on experience using open-source frameworks such as scikit-learn, TensorFlow, or PyTorch. + Deep understanding of AI/ML/DL, statistics, and the ability to code efficiently using relevant open-source libraries and frameworks. + Advanced knowledge of SQL and programming languages such as Python, PySpark, and/or Scala. + Strong knowledge of retail and one or more business practices across domains such as product, finance, marketing, technology, and business systems. + Exceptional analytical and quantitative problem-solving skills. + Expertise in solving optimization problems using integer programming. + Ability to deconstruct abstract problems, formulate hypotheses, and conduct detailed analyses. + Experience navigating ambiguity and building rapid business cases/prototypes. + Hands-on experience with analytics and reporting tools such as Google Cloud Platform (BigQuery), Microsoft Power BI, and Microsoft Excel. **Great to have:** + Problem solving mindset with can-do attitude, not afraid of facing new problems, technical challenges, delivery pressures. + Ability to clearly define problems, models and constraints from informal and flexible business requirements. + Teamwork spirit, quick adaptation to new environment 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 . ‎ ‎ 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 ( . ‎ The annual salary range for this position is $90,000.00-$180,000.00 ‎ Additional compensation includes annual or quarterly performance bonuses. ‎ Additional compensation for certain positions may also include: ‎ ‎ - Stock ‎ ‎ **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 2 years' experience in an analytics or related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field. Option 3: 4 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, 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. **Primary Location...** 805 Se Moberly Ln, Bentonville, AR 72712, United States of America 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, abilities, ideas and opinions- while being inclusive of all people.

Job Tags

Full time, Temporary work, Flexible hours,

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