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:

    Data Science

  • Job Title:

    Data Scientist

  • Location:

    Tucson,,AZ

  • Duration:

    12 Months

  • Domain Exposure:

    Utilities/ Energy, IT/Software

  • 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

Duties & Responsibilities:

  • Develop and implement statistical, machine-learning, and heuristic techniques to create descriptive, diagnostic, predictive, and prescriptive analytics.
  • Design and execute analytical and statistical models for a variety of projects. Work with clients and teams to define project-specific metrics and reports, detail data acquisition and management, algorithm design, and model development and refinement. Present interim and final project analysis presentations as required.
  • Collaborate with experts across campus to get an understanding of underlying business processes, strategies, circumstances, and execution to identify business questions and analytical needs.
  • Produce effective statistical and machine-learning models that will provide insights to drive decision making for some of the University’s most challenging problems.
  • Identify opportunities and lead initiatives to enhance our current analytical capabilities.
  • Develop new interactive analytics tools to enhance business insights and functions through expert mathematical, analytical, and computational techniques and guidance.
  • Identify approaches to improve accuracy and effectiveness of existing analytical models.
  • Improve the quality and integrity of data used through error-correcting codes, Damm and Luhn algorithms, hash functions, check constraints, foreign key constraints, program assertions, 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