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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist (FORECASTED) - **Company:** Columbia Technology Partners - **Location:** Annapolis Junction, MD, United States - **Salary:** $210,000.0 - $260,000.0 - **Contract:** Permanent contract - **Skills:** Training Data, Artificial Intelligence, Business Analytics Applications, Data Analysis, Big Data, Cloud Computing, Computer Programming, Information Engineering, Data Mining, Data Structures, Data Visualization, Data Warehousing, Distributed Systems, R (Programming Language), Statistical Hypothesis Testing, Python (Programming Language), MATLAB, Machine Learning, Natural Language Processing, SAS (Software), SQL Databases, Unstructured Data, Information Technology, Statistics Packages, Data Analytics, Machine Learning Operations - **Published:** July 17, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=022a3232e837c1dc ## About the Role * 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., * 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., * 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. ## 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., * 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: In addition to the responsibilities above, Level 2 candidates will: * 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., Our salary ranges are based on the following key factors: * Job Role and Responsibilities: The specific duties and responsibilities associated with each role form the foundation of our compensation structure. * Market Research and Industry Benchmarks: We conduct regular analysis of market trends and salaries across our industry, using reliable compensation data to ensure we stay competitive. * Experience and Qualifications: An individual's experience, education, certifications, and specialized skills all contribute to determining their position within a salary range. * Location: Salary ranges may be adjusted based on geographic cost of living, in accordance with local and national standards. * Company Performance: Our compensation practices also take into account overall company performance and financial health, ensuring that we maintain sustainability while rewarding our team. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Data Science on Software Data](https://www.wearedevelopers.com/videos/162-data-science-on-software-data) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Leveraging Large Language Models for Legacy Code Translation: Challenges and Solutions](https://www.wearedevelopers.com/videos/1157-leveraging-large-language-models-for-legacy-code-translation-challenges-and-solutions) - [Industrializing your Data Science capabilities](https://www.wearedevelopers.com/videos/178-industrializing-your-data-science-capabilities) - [Cyber Sleuth: Finding Hidden Connections in Cyber Data](https://www.wearedevelopers.com/videos/893-cyber-sleuth-finding-hidden-connections-in-cyber-data) ## Related Articles - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)