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Job Overview

  • Job ID:

    J36993

  • Specialized Area:

    Data Science

  • Job Title:

    Senior Director of Data Science

  • Location:

    Scottsdale,AZ

  • Duration:

    12 Months

  • Domain Exposure:

    Pharmaceuticals, Manufacturing, Utilities/ Energy, Insurance, Retail, Government, Aerospace/ Airlines, Real Estate

  • Work Authorization:

    US Citizen, Green Card, OPT-EAD, CPT, H-1B,
    H4-EAD, L2-EAD, GC-EAD

  • Client:

    To Be Discussed Later

  • Employment Type:

    W-2, 1099(C2C)




Job Description

Qualifications:
Required



    • Analytics, developing predictive mathematical models and algorithms.
    • Proven knowledge of various databases with ability to code in Python, R, and SQL.
    • Hands on with Machine learning and AI (ie: random forest, linear regression, cluster analysis, XG Boost, etc.) is required
    • Data integration, profiling, cleansing and normalization: structured, unstructured, 3rd party is necessary.
    • Strong proficiency with data visualization techniques is necessary.
    • Proven knowledge of statistical inference is needed.
    • Ability to frame solutions to complex problems is vital.

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Equal Opportunity Employer

MACHINE 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