Senior Data Scientist

What you'll do...

Position: Senior Data Scientist

Job Location: 640 W. California Avenue, Sunnyvale, CA 94086

Duties: Participate in the attribute extraction process as an active stakeholder. Validate certain steps in the process, such as feasibility of attribute extraction process, the definition of the attribute task, instruction document creation for tagging, and evaluating the tagged data. Perform in-depth EDA on tagged data using python, pandas, and matplotlib to uncover insights and prepare the dataset for model training. Responsible for identifying patterns, anomalies, and relevant features that could influence model performance. Responsible for setting up and managing the deep learning infrastructure using Python and PyTorch. Monitor training metrics such as train/validation loss and accuracy per epoch to optimize model performance, ensuring robustness against overfitting/underfitting. Rigorously evaluate the model's performance on test datasets. Responsible for detailed analysis of precision-recall curves and scores, ensuring the model's reliability and effectiveness in real-world scenarios. Explore the utilization of Large Language Models (LLMs) and Large Multi-modal Models (LMMs) for attribute extraction. Identify several strategies and compare them in terms of performance and cost. Develop an automatable process/procedure with the use of LLMs to develop rule-based attribute extraction methods.

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 performing data manipulation and analysis using Pandas and Numpy for handling and analyzing large datasets. Experience creating insightful visualizations using Matplotlib and Plotly to communicate data insights effectively. Experience leveraging Git commands for version control and collaborative code development. Experience using efficient sampling methods including random and stratified sampling to gather data that is representative of the entire population. Experience training deep learning models leveraging PyTorch for the development and training of deep learning models. Experience with underlying deep learning algorithms and techniques, ensuring effective training processes. Experience evaluating and optimizing model performance through training metrics including model loss and accuracy, and utilizing model validation techniques and hyperparameter tuning methods for robust evaluation and optimization. Experience querying relational databases using SQL to extract and manipulate data efficiently. Experience utilizing Linux and Unix commands to effectively work with remote servers and cloud platforms. Experience writing code that is both reusable and scalable. Employer will accept any amount of graduate coursework, graduate research experience or professional 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.