Data Science Specialist
Automation Technologies LLC - San Mateo, CA
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W-2 Open Positions Need to be Filled Immediately. Consultant must be on our company payroll, Corp-to-Corp (C2C) is not allowed. Candidates encouraged to apply directly using this portal. We do not accept resumes from other company/ third-party recruiters. Job Overview Job ID: J36993 Specialized Area: Data Science Job Title: Data Science Specialist Location: San Mateo, CA Duration: 9 Months Employment Type: W-2 (Consultant must be on our company payroll. C2C is not allowed) Minimum Requirements 2+ years of experience in data science: machine learning, statistics, and/or programming Excellent problem solving and critical thinking skills Demonstrated ability to lead technical projects Experience with machine learning techniques, experimental design, and large data sets Proficiency in the following, or related, software packages: SQL, R, Excel A Bachelor's degree in Mathematics, Statistics, Economics, Computer Science, Engineering, or equivalent combination of education/experience. Strong math and analytical skills are needed 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. #J-18808-Ljbffr
Created: 2025-02-01