Senior Data Scientist

Walmart • Sunnyvale, CA

6d • Onsite

About The Position

The Senior Data Scientist develops custom data models and algorithms to support business solutions for Walmart eCommerce. The role builds complex datasets from internal and external sources, analyzes large datasets, identifies trends and significant relationships, and develops models to predict future data characteristics. Models and algorithms are tested, validated, trained for application to new datasets, and scaled to large datasets to provide appropriate search results. The position also builds learning systems for continuous data flows and offline analysis, combines data features to develop search models, and develops models of the current state to identify needed improvements.

The Senior Data Scientist researches industry techniques, best practices, trends, and technologies, and works on project teams to provide analytical support. The role collaborates with cross-functional business partners and uses statistical, programming, optimization, big data, visualization, machine learning, and data ecosystem technologies. Listed tools and technologies include MySQL, Hadoop, Weka, R, Matlab, ILog, HBase, MapReduce, LAPack, and Gurobi, along with the skills and technologies detailed in the requirements.

Requirements

• 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 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-Raphson 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, Plotly, Tableau, and PowerBI.
• Experience with data ecosystem applications, including data management, data quality standards and 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, managing repositories, branching and merging, and collaborating 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 datasets from multiple internal and external data 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 datasets.
• Validate models and algorithmic techniques.
• Scale new algorithms to large datasets.
• Combine data features to develop search models and provide appropriate search results.
• Analyze large datasets and build algorithms to predict future data characteristics.
• Research industry techniques, best practices, trends, and up-to-date technologies.
• Provide analytical support to Walmart eCommerce projects as part of project teams.
• 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 plan.
• 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.
• Annual or quarterly performance incentives.

What This Job Offers

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