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Job Overview

  • Job ID:

    J36993

  • Specialized Area:

    Data Science

  • Job Title:

    Data Science Engineer

  • Location:

    New York,NY

  • Duration:

    12 Months

  • Domain Exposure:

    Healthcare, Insurance, 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, 1099(C2C)




Job Description

Responsibilities:

  • Serve as an engineer data science for AdSmart products.
  • Participate in, and execute, a 12-36 month product roadmap with input from the delivery team, stakeholders, and leadership team
  • Develop and code the data science services that are core to Audience Studio, under the leadership and direction of the VP/Chief Architecture
  • Analyze and report results and adjust the overall engineering strategy accordingly with engineering leadership

Qualifications:

  • Strong knowledge of data structures, algorithms
  • Ability to apply data science theory to effectively to advertising & audience data
  • Fluency in at least 1 of the following programming languages (R, Python, or Scala)
  • Understanding of basic statistical concepts
  • Experience in forecasting, numerical optimization, natural language processing, or machine learning techniques.
  • Experience in web application development and associated skills (REST, HTTP, web services)
  • Able to easily transition between high-level strategy and day-to-day implementation

Desired Qualification:

  • Self-directed, ability to multi-task, sharp analytical abilities, excellent communication skills, capable of working effectively in a dynamic environment
  • Excellent written and verbal communication skills
  • Excellent teamwork and collaboration skills
  • Results-oriented, high energy, self-motivated

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Equal Opportunity Employer

MACHINE LEARNING 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. MACHINE LEARNING 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 MACHINE LEARNING 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