Senior Data Scientist

What you'll do...

Position: Senior Data Scientist

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

Duties: Develop a gradient boosting based machine learning algorithm to predict the potential order conversion rate of an item by looking into its historical data to establish item-level deal characteristics. Use this technique to compare the potential conversion between different items and prioritize items with higher score to have higher exposure. Design the end-to-end pipeline that includes data extraction, feature engineering, hyper-parameter tuning, model training, and model scoring. Implement pipelines using PySpark and SparkSQL and schedule them to run on a regular basis using Directed acyclic graphs from Dataproc service of Google Cloud. Conduct a thorough analysis of annual event data to identify top-performing and underperforming items using revenue per impression (RPI) corrected for positional bias. Create a Tableau dashboard to identify items that have potential revenue per impression to consider boosting on eCommerce pages. Fine tune and improve the existing Digital Assortment Item Ranking Tool. Add new item boosting logic that identifies underexposed items based on add to carts, click through rate, and revenue per impression and push them to the top slots of the page balancing item exploration vs. exploitation. Create a comprehensive tool to provide daily insights on item level inventory status along with a KPI (Key Performance Indicator), enabling site merchants to adjust the deals which are live on the platform and manage the inventory of key items. Support site merchants to maximize sales during seasonal events and promotional periods by facilitating strategic item placement, data-informed product selection, and effective ranking algorithms.

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 with coding languages including Python, PySpark, R, and SparkSQL. Experience using SQL to query relational databases including MySQL and PostgreSQL. Experience using machine learning, data mining, and statistical analysis to develop custom models for complex business problems including gradient boosting, regression, classification, and clustering. Experience evaluating, testing, and validating the accuracy and robustness of machine learning models including bias-variance trade-off, mean absolute error, accuracy, and recall. Experience deploying and maintaining machine learning models in a production environment. Experience with data visualization and best practices for complex data types. Experience with multiple data visualization tools including Python libraries Matplotlib and Ploty and software Tableau. Experience working with large data sets and distributed computing. Experience translating business requirements into projects, activities, and tasks and developing domain specific data drive solutions. 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