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:

    Princeton,NJ

  • Duration:

    8 Months

  • Domain Exposure:

    Manufacturing, Insurance, Telecom, 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
  • Identifying necessary, relevant, and novel data sources residing throughout the company (but often siloed from neighboring operations), from Amazon (an enormous source of diverse information), from third party vendors, from government agencies, and from novel – yet to be acknowledged sources.
  • Acquiring data, which often means building the necessary SQL / ETL queries, import processes through various company specific interfaces for accessing Oracle and Red Shift storage systems, but also by building relationships with stakeholders and counterparts all over the world in order form trusting, functional relationships that provide for a sustainable flow and sharing of information.
  • Exploring data will occupy the largest portion of attention, and should be second nature in order to deeply understand the phenomenon being modeled, and the validity and reliability of the inputs, including but not limited to inspecting univariate distributions, exploring bivariate relationships, constructing appropriate transformations, and tracking down the source and meaning of anomalies when and where they arise.
  • Analyzing and decomposing the written/spoken word, the story, the author: conduct research on problems specific to the Natural Language Processing field, develop prediction models that can go directly into production, and build working prototypes.
  • Existing fluency in at least one of the following languages: Python, Java, C#.
  • Validating models against alternative approaches, expected and observed outcome, and numerous directly and indirectly relevant business defined key performance indicators.
  • Reviewing models of peers for the purpose of reducing and managing risk to the business, and maximizing improvement of business practice and customer experience.
  • Implementing models from the initial evaluation of the computational demands, accuracy, and reliability of the relevant ETL processes, and the integrity of the data sources in production, to the computational demands, accuracy, and reliability of all the necessary processes: from simple scoring to model training in higher and higher frequencies in the production environment.
  • Operationalization will include identifying the stakeholders in the life of a model score throughout the company and around the world, forming trusting bonds, understanding the phenomenon, optimizing the model output for integration to the practice, assuring “buy in” from practitioners as well as leaders, training for proper utilization and communication, and assessing proper utilization.
  • Engaging in model management will include developing sustainable, consumable, accurate, and impactful reporting on model inputs, model outputs, observed outputs, business impact, and key performance indicators.

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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