Data Science
3 days ago
- Build and evaluate predictive and decision models to be deployed in production systems, or for research.
- Analyze large amounts of historical data, determining suitability for modeling, data clean-up and filtering, pattern identification and variable creation, selection of sampling criteria, generating performance definitions and variables.
- Conduct experiments with different types of algorithms and models, analyzing performance to identify the best algorithms to employ.
- Architect and develop operational models that run at scale through partnership with data engineering teams.
- Master's degree or higher in Statistics/Math/Computer Science or a related field.
- Background in applied statistical modeling on large experimental or observational data sets.
- Experience extracting data from a variety of sources, with a desire to expand those skills (working knowledge of SQL is required; Spark is a plus).
- Experience with one or more statistical or machine learning software such as R, Python, etc.
ROBOTICS TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status.
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