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:

    Chicago,IL

  • Duration:

    6 Months

  • Domain Exposure:

    Manufacturing, 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 (Consultant must be on our company payroll. C2C is not allowed)




Job Description

Position Responsibilities

  • Collaborate with Project Managers and business stakeholders to execute Analytics projects
  • This includes outlining specific deliverables, provide input to project plans and milestones
  • Analyze and model structured data using advanced statistical methods and implement algorithms and software needed to perform analyses
  • Perform machine learning, natural language, and statistical analysis methods, such as classification, collaborative filtering, association rules, sentiment analysis, topic modeling, time-series analysis, regression, statistical inference, and validation methods
  • Leverage data management processes and available infrastructure / Relation data sources/API tools to develop POC capabilities/solutions
  • Work alongside ETL engineers to establish an analytics platform to be used across the business
  • Use good software engineering practices (appreciate the importance of good coding practices to DS, unit testing, version control using git, code review)
  • Ability to conduct large scale projects and research through all stages: concept formulation, definition of metrics, determination of appropriate statistical methodology, research evaluation, and final research report
  • Mentor other team members as needed
  • Demonstrate a commitment to Hyatt core values
  • The position responsibilities outlined above are in no way to be construed as all encompassing. Other duties, responsibilities, and qualifications may be required and/or assigned as necessary

Qualifications

Required Skills and Experience

Experience

  • At least 3 years of professional experience as a Data Scientist
  • Detailed knowledge on a range of analytical techniques (e.g. Supervised and Un-supervised machine learning techniques, graph data based analytics, statistical analysis, time series, geospatial, nlp, sentiment analysis, pattern detection to name a few)
  • Good understanding of data manipulation/wrangling techniques
  • Experience with command-line scripting, data structures and algorithms and ability to work in a Linux/Windows environment, processing large amounts of data in an on-premise and/or cloud environment
  • Automate the model building process
  • Good data modelling intuition
  • Proven ability to influence and work with cross-functional teams. Significant skill required to work effectively across internal functional areas in situations where clear parameters may not exist
  • Strong work ethic and personal integrity; self-directed and self-motivated with a highly developed curiosity and willingness to learn and to teach
  • Excellent verbal and written communication skills as well as interpersonal and influencing skills; ability to define and capture business needs along with articulating strategic implications of analytic results with clarity and persuasiveness in an audience appropriate manner

Apply Now
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