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Job Overview

  • Job ID:

    J36993

  • Specialized Area:

    Machine learning

  • Job Title:

    Data Scientist - Machine Learning Fraud Analytics

  • Location:

    New York,NY

  • Duration:

    12 Months

  • Domain Exposure:

    Healthcare, Banking & Finance, Insurance, Telecom

  • 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:

Responsibilities :

  • Be involved in the financial management of clients
  • Be actively involved in business development activities to help identify and research opportunities on new/existing clients
  • Contribute to the development of your own and team-s technical acumen
  • Develop strategies to solve complex technical challenges
  • Assist in the management and delivering of large projects
  • Train, coach, and supervise staff
  • Keep up to date with local and national business and economic issues
  • Continue to develop internal relationships and your PwC brand

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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