Data Scientist (2-5 years experience)

DataLab USA; Westminster (CO); On-site; USD 70,000 - 100,000; Full time

Benefits offered by this job

Health, Dental, and Vision Plans

401(k) Retirement Savings Plan

Paid Time Off

Company Holidays

Job summary

DataLab USA in Westminster, CO is seeking a skilled candidate for predictive modeling and data analytics. In this role, you'll implement and maintain models and generate business insights using your expertise in SQL and statistical software.

The ideal applicant will have a Master's or PhD in a quantitative discipline and 2–5 years of relevant experience, preferably in financial or insurance sectors. The position offers comprehensive health benefits and a supportive work environment.

Qualifications

• 2–5 years of database marketing and data mining experience.
• Financial or insurance industry experience strongly preferred.
• Experience programming with at least one language.

Responsibilities

• Build, implement and maintain predictive models.
• Identify patterns & trends in data for business decisions.
• Design and create new analytic procedures & automation.

Skills

SQL

R

Python

Tableau

Excel

Data mining

Education

MS/PHD in a quantitative discipline

BS in a quantitative discipline with experience

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.

We have been listed on 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 Westminster, CO**

Key Responsibilities

• Build, implement and maintain predictive models through their full lifecycle.
• Identify patterns & trends in data, and provide insights to enhance business decision making.
• Identify challenges and opportunities from client strategy discussions and take ownership of the 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.
• 2–5 years of database marketing and data mining experience.

Benefits

• Health, Dental, and Vision Plans: Comprehensive coverage to meet your healthcare needs.
• Employee Assistance Program (EAP): Resources and support for personal and professional challenges.
• 401(k) Retirement Savings Plan: Includes option for Traditional or Roth IRA to help you plan for your future.
• Paid Time Off: Paid vacation and sick leave to maintain work‑life balance.
• Company Holidays: Nine paid company holidays throughout the year.

Employment Requirements

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

EEO Statement

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.

Compensation

The base pay range provided serves as a general guideline. The final annual salary offered to the selected candidate will vary based on factors such as qualifications, skill level, competencies, the scope and responsibilities of the role.

This job posting will remain until Jun 26th 2026.