Senior Data Scientist

Walmart • Sunnyvale, CA

7d • $168,917 - $234,000

About The Position

The Senior Data Scientist develops custom data models and algorithms to drive business solutions for Walmart eCommerce. The role builds complex data sets from multiple internal and external sources; analyzes large data sets; and conducts advanced statistical analysis to identify trends and meaningful relationships. It develops learning systems for continuous data flows and offline analysis, trains algorithms to apply models to new data, validates models and algorithmic techniques, and scales algorithms to large data sets. The position also combines data features to determine search models and develops models of the current state to identify needed improvements. The role works on project teams to provide analytical support, collaborates with cross-functional business partners, and researches industry trends, techniques, best practices, and up-to-date technologies.

The position uses tools and technologies including MySQL, Hadoop, Weka, R, Matlab, ILog, HBase, MapReduce, LAPack, and Gurobi. Required expertise also covers statistical modeling, programming, optimization, databases and distributed data stores, big data, visualization, data ecosystems, natural language processing, vector databases and similarity search, machine learning and deep learning, source control, CI/CD, model evaluation, and data drift detection.

The position is located at 1375 Crossman Avenue, Sunnyvale, California. The stated salary range is $168,917 to $234,000 per year, with additional annual or quarterly performance incentives.

Requirements

• Master’s degree or equivalent in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or a related field, plus 1 year of experience in an analytics-related field; or a bachelor’s degree or equivalent in one of those fields, plus 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 including 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, repository management, branching and merging, and collaboration through GitHub.
• Experience designing and implementing CI/CD pipelines for automated testing, integration, and deployment of code.
• Experience with model evaluation and data drift detection.
• The employer will accept any amount of graduate coursework, graduate research experience, or professional experience with 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 to analyze and filter continuous data flows and support offline data analysis.
• Train algorithms to apply models to new data sets.
• Validate models and algorithmic techniques and scale algorithms to large data sets.
• Combine data features to determine search models and provide appropriate search results.
• Analyze large data sets to develop custom models and algorithms for business solutions.
• Provide analytical support to Walmart eCommerce projects as part of project teams.
• Build large data sets from multiple sources to develop algorithms for predicting future data characteristics, then test, validate, and apply those algorithms to large data sets.
• Research industry trends, new techniques, best practices, and current technologies to support assigned projects.
• Work with cross-functional partners across the business.
• 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, including annual or quarterly performance incentives.

What This Job Offers

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