Senior Data Scientist

Walmart • Sunnyvale, CA

6d

About The Position

The Senior Data Scientist develops custom data models and algorithms to support innovative business solutions for Walmart eCommerce. The role builds large, complex data sets from internal and external sources; conducts advanced statistical analysis to identify trends and relationships; and creates, trains, validates, and scales learning systems and algorithms for large and continuous data flows. It also develops search models and predictive algorithms, researches industry practices and technologies, models current states to identify improvements, and provides analytical support to project teams while working with cross-functional business partners. The position uses tools and technologies including MySQL, Hadoop, Weka, R, Matlab, HBase, MapReduce, LAPack, and Gurobi.

Requirements

• A master's degree or equivalent in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or a related field and 1 year of experience in an analytics-related field; OR a bachelor's degree or equivalent in one of those fields and 3 years of experience in an analytics-related field.
• Experience with statistical methods and modeling techniques, including Graphical Models, Bayesian Inference, Neural Networks, SVM, and Random Forest.
• Experience coding in object-oriented programming languages and statistical tools, including Python and R.
• Experience with optimization techniques, including Newton-Rapson Methods and Gradient Descent.
• Experience with numerical optimization methods, including Linear Programming, Integer Programming, and Quadratic Programming.
• Experience with database technologies and distributed datastores, including SQL and NoSQL.
• Experience with big data technologies, including Hadoop, Spark, and Hive.
• Experience with data visualization tools, including Ggplot, Matplotlib, Ploty, Tableau, and PowerBI.
• Experience with data ecosystem applications, including Data Management, Data Quality Standards and Data Governance, Accessibility, Storage, and Scalability.
• Experience with NLP tasks, including text classification and sentiment analysis, and tools such as NLTK, spaCy, and Gensim.
• Experience designing, implementing, and managing vector databases.
• Experience with vector similarity search and indexing.
• Experience with machine learning algorithms, neural networks, and deep learning frameworks, including TensorFlow and PyTorch.
• Experience using Git for code versioning, including repository management, branching and merging, and collaboration via GitHub.
• Experience designing and implementing CI/CD pipelines for automated testing, integration, and code deployment.
• Experience with model evaluation and data drift detection.
• Graduate coursework, graduate research experience, or professional experience may be used in any amount to meet the required skills.

Responsibilities

• Develop custom data models and algorithms to drive business solutions.
• Build complex data sets from multiple internal and external sources.
• Conduct advanced statistical analysis to identify trends and significant data relationships.
• Build learning systems for continuous data flows and offline data analysis.
• Train algorithms to apply models to new and future data sets.
• Validate models and algorithmic techniques, and scale algorithms to large data sets.
• Combine data features to develop search models and provide appropriate search results.
• Analyze large data sets and build algorithms to predict future data characteristics.
• Provide analytical support to Walmart eCommerce project teams.
• Research industry trends, techniques, best practices, and up-to-date technologies.
• Work with cross-functional business partners.
• Develop models of the current state to determine needed improvements.

Benefits

• Medical, vision, and dental coverage.
• 401(k), stock purchase, and company-paid life insurance.
• Paid time off, including sick leave.
• Parental leave, family care leave, bereavement leave, jury duty leave, and voting leave.
• Short-term and long-term disability.
• Education assistance, including 100% company-paid college degrees.
• Company discounts.
• Military service pay.
• Adoption expense reimbursement.
• Performance-based incentive awards and annual or quarterly performance incentives.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior