Job Description

Apply and/or develop ML solutions to develop efficient and scalable models at Walmart scale. Play a key role to solve complex problems, pivotal to Walmart s business and drive actionable insights from terabytes of data. Leverage data science tools and techniques, keeping abreast with the latest in the community to solve problems for Walmart. Collaborate with counterparts in engineering and science to find impactful solutions to business problems. Define and/or own the model goodness metrics and track the business impact over time. Develop PoC, present lucidly to the business and evolve the solutions. Research, learn/disseminate & adapt new technologies to solve problems & improve upon existing solutions. Manage the continuous improvement of data science and machine learning by following industry best practices and staying up to date with and extending the state-of-the-art in Deep Learning research. Integrate data science solutions into current business processes. Contribute in terms of white papers and approach papers in top tier ML/AI conferences such as NIPS, ICML, AAAI and COLT Participate and speak at various external forums such as research conferences and technical summits. Promote and support company policies, procedures, mission, values, and standards of ethics and integrity. What you will bring: Masters degree with > 3 years of experience / bachelors degree with > 4 years of experience. Educational qualifications should be from STEM. Experience should be relevant to the role. Experience in analysing complex problems and translating them to data science solutions with due attention to computational efficiency and scale. Sound knowledge of ML concepts and its application and ability to formulate solutions, baseline it and improve upon them with ML algorithms. Expertise in NLP and Computer Vision models. Worked with models like BERT, ViT and LLMs. Worked on fine-tuning LLMs and Transformer based models for business solutions. Knowledge in statistical methodologies to be able to measure metrics of large dataset and leveraging statistical based sample methods. Experience working with big data - identifying trends, patterns, and outliers in large volumes of data. Worked with at least one mainstream machine learning framework such as Tensor Flow and PyTorch Working Experience with SQL and relational databases Experience with big data platforms - Hadoop (Hive, Pig, Map Reduce, HQL) / Spark / H20 is good to have Domain Knowledge: Retail eCommerce is good to have Experience with debugging skills, RCA and stakeholder management. Software Engineering / Data Engineering Fundamentals Basic software design principals Unit testing Version control High performance code to work at scale Benefits: Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include a host of best-in-class benefits maternity and parental leave, PTO, health benefits, and much more. Minimum Qualifications... Minimum Qualifications:Option 1- Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years experience in an analytics related field. Option 2- Masters 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.