Develop and implement data science techniques and methodologies; prepare data, descriptive tables, and other analytical products. Collect, inventory, and transform diverse data sources for analysis, performance indicators, and modeling. Use technical skillsets to analyze, design, and develop data pipelines/lakes for model consumption, including designing and building associated algorithms. Develop proof‑of‑concepts and analytic solutions to address business problems. Support requirements‑gathering efforts for dashboards, reports, and other analytical products. Manage large datasets, including performing data integration, data wrangling, and querying large databases.
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Job Type
Full-time
Career Level
Mid Level