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Data Science Modernizer - Commercial

  • Location

    New York

  • Sector:

    Data Science

  • Job type:

    Permanent

  • Salary:

    Very Competitive (TBD depending on candidate)

  • Contact:

    Rebaz

  • Contact email:

    rebaz@intelletec.com

  • Job ref:

    DS1015

  • Consultant:

    Rebaz Has

Data Science Modernizer – Commercial

 

An opportunity to work at the intersection between data science and business.

 

THE COMPANY:

  • Founded only a few years ago, this firm has already disrupted an area of healthcare with a $1B+ IPO and multibillion dollar valuation
  • Rather than a focused advanced analytics lab or CoE, rather, the strategy is to embed analytical innovators into the various business units where they can better align with business goals
  • These individual modernizers work directly with the function head (EG: Head of Finance, Commercial, Accounting, Marketing, Digital, Business Ops) and where there is an analytical / technology solution at hand, then they will lead the roadmap and analytics for actionable business insight.
  • The Modernizer team is currently at circa 15 with a view to growing to 50+ in the next year or so

 

Responsibilities
 

  • Collaborate with the other members of the business unit
  • Understand operational workflows and processes
  • Think creatively to identify opportunities for digital innovation
  • Evaluate externally developed technology solutions
  • Improve data capture and use
  • Communicate new ideas and methods to broader team
  • Increase efficiency through both tactical and strategic technology implementations

 

Requirements

  • Self-starting motivation and entrepreneurial spirit and a go-getter!
  • MSc or PhD degree preferred n STEM fields such as Computer Science, Machine Learning, Applied Statistics, Operations Research, Systems Engineering, Econometrics, Mathematics 
  • Ability to apply statistical and quantitative methods such as Machine Learning using Python or R
  • Ability to explain complex analytical concepts to people from other fields 
  • Strong programming skills, Project management skills 
  • Experience in applying data science methods to business problems 
  • Strong logical, analytical, presentation and communication skills