Senior Data Scientist

What you'll do...

Position: Senior Data Scientist

Job Location: 860 W. California Avenue, Sunnyvale, CA 94086

Duties: Generate embeddings for textual data for building a content-based recommender system for serving ads on third-party websites. Apply NVIDIA-RAPIDS cuDF, cuPy, and cuML libraries to efficiently process large datasets and create various NLP applications using GPU acceleration. Employ semantic search methods to understand the article context on a webpage and suggest relevant ads that match the user’s intent and interest. Adopt cuML KNN to identify matching products for a given set of affiliate articles by comparing their features and descriptions. Fine-tune the NLP model to improve the accuracy of the predictions. Scale the model to work for hundreds of millions of Walmart products and thousands of articles. Design and implement recommender systems that enhance the online shopping experience on Walmart.com by leveraging customer data and preferences. Develop two tower models that utilize customer purchase history and engagement data to generate personalized recommendations for recipes. Ideate predictive models that can suggest "goes well with" recipes for a recipe using Word2Vec embeddings. Recommend Walmart products required for a recipe using LLMs and vector search. Develop effective prompts for finding appropriate direct, indirect, and supportive items for each dish on Walmart’s recipe hub. Use classifier models from LLMs and deep learning to classify recipes into various categories. Improve an existing machine learning model using LLMs to map ingredients in a recipe text to corresponding products on Walmart.com. Use SBERT embedding models to rank ingredients in the recipe text to filter pantry items and find essential ingredients to make a recipe. Develop ranking models to enhance recipe search features on Walmart’s recipe hub.

Minimum education and experience required: Master’s degree or equivalent in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 1 year of experience in an analytics related field; OR Bachelor’s degree or equivalent in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years of experience in an analytics related field.

Skills required: Experience developing large scale recommender systems which enhance customer experience. Experience using opensource frameworks including Scikit Learn, TensorFlow, Keras, and PyTorch. Experience building data products and crunching terabytes of data. Experience with disparate technologies and the full model lifecycle, including data pipelines, data extraction, model training, model serving, labeling tools, ML-ops, and ad-hoc tooling. Experience developing experimental and analytic plans for data modeling processes, using baselines, and accurately determining cause and effect relations. Experience with statistical methods and advanced modeling techniques including XGBoost, Bayesian inference, Neural Networks, Graphical Models, SVM, Random Forest, NLP, and Computer Vision. Experience with software development using Python, SQL, R, Scala, and Java. Experience achieving results in a fast paced, highly collaborative, dynamic work environment. Experience using cloud technologies including cloud storage, computing, and cloud machine learning platform to build robust architecture for real time analysis / serving model predictions. Experience building data pipelines using Airflow or open-source orchestration platforms. Experience building and developing high performance, maintainable and scalable platform features across the complete ML pipeline. Employer will accept any amount of experience with the required skills.

Salary Range: $138,911/year to $234,000/year. Additional compensation includes annual or quarterly performance incentives. Additional compensation for certain positions may also include: Regional Pay Zone (RPZ) (based on location) and Stock equity incentives.

Benefits: At Walmart, we offer competitive pay as well as performance-based incentive 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, education assistance with 100% company paid college degrees, company discounts, military service pay, adoption expense reimbursement, and more.

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.com.

Wal-Mart is an Equal Opportunity Employer.