What you'll do...

Position: Senior Data Scientist

Job Location: 680 W. California Avenue, Sunnyvale, CA 94086

Duties: Research, design, and implement data models and cutting-edge algorithms on high-dimensional, fast-moving, unstructured, and structured data and other business intelligence data. Utilize cutting-edge machine learning, data mining, and optimization algorithms to analyze data. Design, implement, and deploy machine learning models for assortment planning. Scale the Machine Learning models using Cloud Platforms (e.g., Dataflow, ML Engine, BigQuery, and Azure). Build continually learning systems that learn errors and that will have a direct impact on business Key Performance Indicators (KPIs) for accurate predictions. Build compelling data visualizations and interactive dashboards to showcase Wal-Mart's work internally and externally. Work with stakeholders from different backgrounds to transform analytics into business insights that provide value and form hypotheses. Conduct analysis to deliver findings in a structured way to business partners.

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

Skills required: Experience coding in one of the following object-oriented programming languages: Python or C++. Experience with SQL and Python for pre-processing of data and feature engineering. Experience with data science and Machine Learning techniques and using Deep Learning frameworks including TensorFlow, Keras, PyTorch, and scikit-learn. Experience with parallel computing and scientific computing. Experience using PySpark to scale models and for parallel processing to expedite runtimes. Experience building end-to-end Machine Learning and Deep Learning pipelines. Experience with mathematical modeling and simulation of large data from complex systems. Experience with data mining and Machine Learning to build analytical models. Experience with data wrangling using SQL. Experience creating business value through building data science products. 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.