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Job Overview

  • Job ID:

    J36993

  • Specialized Area:

    Data Science

  • Job Title:

    Vice President of Data Science

  • Location:

    Harrison,NY

  • Duration:

    12 Months

  • Domain Exposure:

    Pharmaceuticals, Retail, Government, 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

Job Description:

The VP of Data Science must come from a technical background and have past experience building high performing data platform and science teams.

Responsible for development and ongoing operation for data science, advanced analytics, machine learning.

Build and lead a high-performing team of data scientists.

Experience in roles involving business analysis/business intelligence.

Provide leadership to leverage solutions related to data science, machine learning, and other analytical techniques to improve product features and capabilities.
 
VP is responsible for ongoing strategic advancement of the company s data science capabilities.


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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