Mission-Centric Data Scientist for ML & Analytics Clearance

Columbia Technology Partners; Corridor North (MD); Hybrid; USD 120,000 - 150,000; Full time

Benefits offered by this job

Medical plans

Vision + Dental

401k retirement plan

PTO + Leave

Career growth benefits

Life and AD&D insurance

Disability insurance

Profit sharing bonus

Referral bonus program

Job summary

Columbia Technology Partners is seeking Data Scientists to build analytics, ML models, and data-driven solutions that turn complex data into insights. You will collaborate with SMEs and engineers to automate workflows and deploy production-ready analytics capabilities.

The role involves developing experiments, selecting algorithms, tuning models, and delivering scalable analytics across large datasets and distributed environments.

Qualifications

• Degree in statistics, math, OR engineering, CS or related field.
• Advanced analytics and ML fundamentals expected.
• Experience with Python/R/SAS or MATLAB required.
• Strong data visualization and data wrangling skills.

Responsibilities

• Develop ML, statistical, graph-based algorithms on complex data.
• Produce visualizations to reveal trends and insights.
• Collaborate with SMEs to extract information from raw data.
• Transform objectives into quantitative models and software.
• Design experiments and validate analytics methods.

Skills

Statistics

Machine learning

Python

R

Data visualization

Education

Bachelor's degree in Statistics/Math/CS

Master's degree substituted for 2 years analytics + 1 year programming

PhD substituted for 4 years analytics experience

4 years experience in lieu of bachelor

Tools

Python

R

SAS

MATLAB

Job description

Columbia Technology Partners is seeking Data Scientists to build analytics, ML models, and data-driven solutions that turn complex data into insights. You will collaborate with SMEs and engineers to automate workflows and deploy production-ready analytics capabilities.

The role involves developing experiments, selecting algorithms, tuning models, and delivering scalable analytics across large datasets and distributed environments.