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:

    Senior Data Science Engineer

  • Location:

    Chicago,IL

  • Duration:

    10 Months

  • Domain Exposure:

    Healthcare, Retail, Government, Education, 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

This position is responsible for ensuring data quality, creation of new data pipelines, optimization and management of existing data pipelines, ingestion and curation of data sources for analytical purposes, and transformations of structured and unstructured data into formats suitable for machine learning and advanced analytics. As data science products are operationalized, they will also work on deployment and making sure products are production-ready and run smoothly. They will work closely with IT on implementation of data products where traditional application development support is needed.

JOB REQUIREMENTS:

  • Bachelor degree and 5 years of work experience in a computer science, engineering, or related field OR Master's degree and 4 years of work experience in a computer science, engineering, or related field OR Ph.D. and 2 years of work experience in a computer science, engineering, or related field
  • Learning and growth mindset.
  • Customer-focused.
  • Interpersonal, verbal and written communication skills.
  • Must demonstrate proficiency in at least five and mastery in one of the following six areas: 1) data analysis and relational-style query languages; 2) data pipelining and ETL; 3) working with semistructured and unstructured data; 4) a high-level programming language; 5) distributed computing; 6) understanding of healthcare.
  • Proficiency in iterative development practices.
  • A track record of independently delivering or leading the delivery of data engineering solutions for multiple complex analytics or data science projects and products.

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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