W-2 Jobs Portal

  • 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:

    Hadoop

  • Job Title:

    Data Scientist Analyst

  • Location:

    Dearborn,MI

  • Duration:

    10 Months

  • Domain Exposure:

    Healthcare, Manufacturing, Insurance, Education, IT/Software, Media/ Entertainment

  • 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 (Consultant must be on our company payroll. C2C is not allowed)




Job Description

Job Description:

  • Deliver analytics projects and products for the manufacturing skill team consisting of Manufacturing Engineering, Operations and Advanced Manufacturing
  • Lead the project through all the stages Problem Formulation, Data Management, Solution Development, Solution Deployment and Ongoing Management
  • Interact with company support functions Data Operations, Data Governance, DSC (Data Supply Chain) IT, RTSA (Real Time Streaming Architecture) to provide them with inputs to plan for data landing and transformation
  • Interact with GDI&A Tech to provide specifications for developing architecture and user interfaces for analytics products
  • Participate in the Advanced Manufacturing/ governance process consisting of presenting project A3s and periodic updates when scheduled
  • Work with available tools and technologies (see list of tools and technologies in the Position Qualification section) to develop robust models based on approved use cases to provide insights to internal customers
  • Interact with internal customers of the proposed solution to ensure that the project delivers the agreed to business benefit, this will require the Analytics Scientist to be a change agent to convince the users to modify their business processes
  • Provide updates to and solicit assistance from supervisors and managers as needed to ensure that projects are delivered on schedule
  • Continuously improve data science skills by leveraging available learning and development opportunities both within and outside of Ford such as boot camps, MOOCs (Massive Open Online Courses), conferences, knowledge shares etc.

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Equal Opportunity Employer

DIGITAL 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. DIGITAL 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 DIGITAL 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