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:

    New York,NY

  • Duration:

    9 Months

  • Domain Exposure:

    Retail, Government, Aerospace/ Airlines, 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
  • Analyze and reconcile premium revenue and remittance status, accounting for rate changes across all product lines. Support and report account receivables sub-ledger aging and collections.
  • Collect and data mine to assess and resolve account receivable variances between supportable sub-ledger and general ledger activity, supporting write-offs and adjustments to be recorded in general ledger.
  • Review, analyze and create detailed documentation reports to support account receivable operational and reconciliation process.
  • Lead development and execution of highly complex algorithms and statistical predictive models from large sets of data
  • Determine analytical approaches and modeling techniques to evaluate scenarios and potential future outcomes
  • Inference data to make recommendations and decisions
  • Anticipate and solve strategic and high risk business problems with broad impact on the business area by investigating problems, detecting patterns and recommending solutions
  • Communicate new knowledge and insights gained from analysis of big data
  • Perform statistical analysis to quantify the limitations of models
  • Transfer knowledge and concepts to the team that is implementing the actual system
  • Partner with IT and business teams to solve problems, develop new algorithms and models, and identify trends and opportunities. Inform, influence, support, and execute business and product decisions. 

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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