Data Scientist (FORECASTED)

Columbia Technology Partners • Annapolis Junction, MD

3d • Onsite

About The Position

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.

Requirements

• Bachelor's degree in Statistics, Mathematics, Operations Research, Engineering, Computer Science, or a related discipline from an accredited college or university.
• 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.
• U.S. Citizenship is required for all applicants.
• Employment is contingent upon successful completion of a security background investigation and polygraph.
• DOD 8570 Certification
• This position requires an active Security Clearance with appropriate Polygraph.

Nice To Haves

• 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.
• 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.

Responsibilities

• 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.
• 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.

Benefits

• Medical: CTP offers 3 superior plans, bringing our employees both in-network and out-of-network options.
• Vision + Dental: Both free to you + paid in full by CTP.
• Retirement: 401k - 6% company contribution
• PTO + Leave: A work life balance is extremely important to our team here at CTP, which is why our paid time off plans are so lucrative. Offering customizable leave plans to meet your needs is just one of our many perks!
• Jury Duty, Bereavement + Military Leave provided.
• Career Growth: Up to $10,000 provided for approved career-related learning, training, education, and/or tuition.
• Life and AD&D Insurance/Short-Term & Long-Term Disability: More peace of mind, at zero cost to you.
• Profit Sharing Bonus: End of year cash gets added to your bottom-line.
• Referral Bonus Program: Our tiered program provides an incentive with each stage of the hiring process your referral passes. Our bonuses range from $7,000-$20,000, if your referral joins the team.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level