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Idaho Occupational Therapy Associaton

Data Science Specialist

Idaho Occupational Therapy Associaton, San Mateo, California, United States, 94409


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 OverviewSpecialized Area:Data ScienceJob Title:Data Science SpecialistLocation:San Mateo,CADuration:9 MonthsDomain Exposure:Work Authorization:Client:To Be Discussed LaterEmployment Type:W-2

(Consultant must be on our company payroll. C2C is not allowed)Excellent problem solving and critical thinking skillsDemonstrated ability to lead technical projectsExperience with machine learning techniques, experimental design, and large data setsProficiency in the following, or related, software packages: SQL, R, ExcelA Bachelor's degree in Mathematics, Statistics, Economics, Computer Science, Engineering, or equivalent combination of education/experience. Strong math and analytical skills are neededMACHINE LEARNING 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. MACHINE LEARNING 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 MACHINE LEARNING 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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