Senior Data Scientist
Listed on 2026-10-31
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IT/Tech
Data Scientist, Machine Learning/ ML Engineer, Data Engineering, Data Analyst
Senior Data Scientist
Job Location:1375 Crossman Avenue, Sunnyvale, CA 94089
What you ll do:Develop custom data models to drive innovative business solutions. Build complex data sets from multiple data sources, both internally and externally. Conduct advanced statistical analysis to determine trends and significant data relationships. Build learning systems to analyze and filter continuous data flows and offline data analysis. Train algorithms to apply models to new data sets. Validate models and algorithmic techniques. Scale new algorithms to large data sets.
Combine data features to determine search models. Research new techniques and best practices within the industry. Utilize system tools including MySQL, Hadoop, Weka, R, Matlab, and ILog. Analyze large data sets to develop custom models and algorithms to drive business solutions. Work on project teams to provide analytical support to projects for Walmart eCommerce. Build large data sets from multiple sources to build algorithms for predicting future data characteristics.
Those algorithms will be tested, validated, and applied to large data sets. Train the algorithms so they can be applied to future data sets and provide the appropriate search results. Research new trends in the industry and utilizing up-to-date technology (for example, HBase, Map Reduce, LAPack, Gurobi) and analytical skills to support assigned projects. Work with cross-functional partners across the business.
Develop models of current state to determine needed improvements.
Master’s degree or the 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 the 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 statistical methods and modeling techniques:
Graphical Models, Bayesian Inference, Neural Networks, SVM, and Random Forest. Experience coding in object-oriented programming languages and statistical tools:
Python and R.
Experience with optimization techniques:
Newton-Rapson Methods and Gradient Descent.
Experience with numerical methods of optimization:
Linear Programming, Integer Programming, and Quadratic Programming.
Experience with database technologies and distributed data stores: SQL and No
SQL. Experience with big data technologies:
Hadoop, Spark, and Hive. Experience with data visualization tools:
Ggplot, Matplotlib, Ploty, Tableau, and PowerBI. Experience with data ecosystem application including Data Management, Data Quality Standards and Data Governance, Accessibility, Storage, and Scalability. Experience with Natural Language Processing (NLP) tasks, including text classification and sentiment analysis, and using NLTK, spaCy, and Gensim. Experience with Vector Databases and designing, implementing, and managing vector databases. Experience with vector similarity search and indexing.
Experience with machine learning algorithms, neural networks, and deep learning frameworks:
Tensor Flow and PyTorch. Experience using Git for code versioning, including managing repositories, branching and merging, and collaborating via platform:
Git Hub. Experience designing and implementing CI/CD pipelines, enabling automated testing, integration, and deployment of code to ensure rapid, reliable, and streamlined software releases. Experience with model evaluation and data drift detection.
$168,917/year to $234,000/year. Additional compensation includes annual or quarterly performance incentives.
Benefits:At…
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