Data Scientist (FORECASTED)

This Position is Contingent on Contract Award.

Description

Columbia Technology Partners is seeking Data Scientists to develop advanced analytics, machine learning models, and data‑driven solutions that transform complex datasets into actionable insights. The ideal candidate will leverage statistical analysis, machine learning, data mining, and visualization techniques to support mission objectives while collaborating with subject matter experts, engineers, and stakeholders to automate analytical workflows and deliver production‑ready analytic capabilities.

Key Responsibilities – Level 1

• Develop machine learning, statistical, graph‑based, and heuristic algorithms to analyze complex datasets.
• Produce data visualizations that provide insight into data structure, trends, and operational relevance.
• Collaborate with subject matter experts (SMEs) to identify valuable information within raw data sources and develop extraction methodologies.
• Transform customer objectives and analytical processes into quantitative models and software‑based solutions.
• Develop descriptive, predictive, and prescriptive analytics to support decision‑making and mission outcomes.
• Design and execute statistical tests to support data‑driven recommendations and conclusions.
• Create feature vectors and datasets suitable for analytics development, testing, and model training.
• Generate reports, visualizations, and presentations that communicate findings and recommendations to stakeholders.
• Partner with software engineers and technical teams to integrate analytical capabilities into operational workflows.
• Implement prototype analytics and machine learning models within production environments.

Additional Responsibilities – Level 2

• Develop experiments and modeling approaches to generate or simulate training data when operational datasets are unavailable.
• Identify, evaluate, and select appropriate machine learning algorithms for specific datasets and mission requirements.
• Tune models and optimize performance using established validation techniques and performance metrics.
• Evaluate analytic approaches and provide recommendations throughout the analytics development lifecycle.
• Design analytics that scale effectively across large datasets and distributed environments.
• Develop and train machine learning systems supporting automation and advanced mission capabilities.
• Apply advanced validation techniques including cross‑validation, ROC analysis, confusion matrices, and other performance assessment methodologies.

Qualifications

• Bachelor's degree in Statistics, Mathematics, Operations Research, Engineering, Computer Science, or a related discipline from an accredited college or university.
• A Master's degree in a related discipline may be substituted for two (2) years of relevant analytics experience and one (1) year of programming experience.
• A PhD in a related discipline may be substituted for four (4) years of relevant analytics experience for Level 2 candidates.
• Four (4) additional years of relevant experience may be substituted in lieu of a bachelor's degree.
• Level 1: Four (4) years of experience analyzing datasets and developing analytics, plus two (2) years of experience programming with data analysis tools such as Python, R, SAS, or MATLAB.
• Level 2: Eight (8) years of experience analyzing datasets and developing analytics, plus five (5) years of experience programming with data analysis tools such as Python, R, SAS, or MATLAB.

Preferred Qualifications

• Experience with machine learning, artificial intelligence, natural language processing, or graph analytics.
• Experience working with large‑scale structured and unstructured datasets.
• Proficiency in Python, R, SAS, MATLAB, or other data science and statistical analysis tools.
• Experience with SQL, data warehousing, and data engineering concepts.
• Experience developing data visualizations and dashboards using modern analytics platforms.
• Experience collaborating with software engineers to transition analytics from prototype to production.
• Familiarity with cloud‑based analytics, distributed computing, and big data environments.

Requirements

• U.S. Citizenship is required for all applicants. CTP is an equal opportunity employer and abides by applicable employment laws and regulations. All applicants and employees are subject to random drug testing in accordance with Executive Order 12564. Employment is contingent upon successful completion of a security background investigation and polygraph.
• Certification Requirements:
• DOD 8570 Certification

This position requires an active Security Clearance with appropriate Polygraph.

Salary

$210,000.00 – $260,000.00 per year

Benefits Summary

• Medical: Three superior plans with in‑network and out‑of‑network options.
• Vision + Dental: Free to employee, fully paid by CTP.
• Retirement: 401(k) with 6% company contribution.
• PTO + Leave: Generous paid time off, including jury duty, bereavement, and military leave.
• Career Growth: Up to $10,000 for approved education, training, and tuition.
• Life and AD&D insurance; Short‑Term and Long‑Term Disability at no cost to employee.
• Profit Sharing Bonus: End‑of‑year cash added to bottom line.
• Referral Bonus Program: Tiered incentives ranging from $7,000 to $20,000 when a referred candidate is hired.

Equal Opportunity Employer

CTP is an Equal Opportunity Employer. We consider applicants without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender, gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, or membership in any other group protected by federal, state, or local law. Our EEO policy applies to all employees, job candidates, contractors, stakeholders, partners, and visitors.