Datalab USA Hiring For Data Scientist (3 5 Years Experience) at Germantown, MD, United States , United States Full Time

Job 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.

Because of our success, we are growing at a rapid pace. We have placed in the INC 5000 list of fastest growing private companies for four 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.

Key responsibilities/duties include:

• 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.

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

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.