Data Scientist (3-5 years experience) at DataLab USA
Broomfield, Colorado, USA -
Full Time


Start Date

Immediate

Expiry Date

29 Jul, 25

Salary

95000.0

Posted On

29 Apr, 25

Experience

3 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Statistical Software, Excel, Tableau

Industry

Information Technology/IT

Description

DataLab USA™ is an analytics and technology driven database marketing consultancy. We combine sophisticated technology, cutting edge analytics and an intrinsic understanding of marketing to build large-scale addressable marketing programs for Fortune 500 companies. Our clients operate in multiple verticals: Financial Services, Insurance, Telcom, and Travel & Leisure.
We have placed in the INC 5000 list of fastest growing private companies for six times in the last ten years. At its heart, DataLab USA™ has the entrepreneurial spirit of a start-up. We judge ourselves on our ability to innovate, drive efficiency and deliver excellence for our clients.

EDUCATION AND EXPERIENCE:

  • MS/PHD in a quantitative discipline or BS in a quantitative discipline with commensurate experience
  • Regular SQL use for querying data
  • Experience programming with at least one language
  • Use of statistical software (e.g., R, Python)
  • Experience with Tableau (or other data visualization platform)
  • Experience with Excel
  • Financial or insurance industry experience strongly preferred
  • 3-5 years of Database Marketing and Data Mining experience
    Salary Range: $95,000 - $125,000
Responsibilities
  • Build, implement and maintain predictive models through their full lifecycle.
  • Identify patterns & trends in data, and provides insights to enhance business decision making.
  • Identify challenges and opportunities from client strategy discussions and taking ownership of solution.
  • Set up and monitor monthly model recalibration process.
  • Generate complex ad-hoc analyses combining disparate concepts or creating new approaches.
  • Design and create new analytic procedures & automation.
  • Review corporate model scoring QC.
  • Review corporate data transformation QC.
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