- Build and evaluate predictive and decision models to be deployed in production systems, or for research
- Analysis of 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
- Conducting 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 thru partnership with data engineer teams
- Master's degree or higher in Statistics/Math/Computer Science or related field
- Background in applied statistical modeling on large experimental or observational data sets
- Experience extracting data from a variety of sources, and a desire to expand those skills (working knowledge SQL is required, Spark is a plus)
- Experience with one or more statistical or machine learning software such as R, Python, etc.
AUTOMATION 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. AUTOMATION TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will AUTOMATION TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract
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