Data Scientist (3-5 years experience)

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.

**No Sponsorship offered for this position**

**Candidate must be local to Germantown, MD**

Key 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.

Required Skills and Qualifications

• 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.

DataLab USA™ is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or national origin.

All offers of employment are contingent on passing a background check and drug test.

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