Data Scientist (FORECASTED)
Columbia Technology Partners
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Benefits offered by this job
Job summary
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. You will collaborate with subject matter experts, engineers, and stakeholders to automate analytical workflows and deliver production‑ready analytic capabilities.
The role emphasizes building descriptive, predictive, and prescriptive analytics, data visualization, and scalable analytics across large
Qualifications
- Bachelor's degree in Statistics, Mathematics, Operations Research, Engineering, Computer Science, or related field from an accredited college or university.
- A Master's degree may substitute for two years of analytics experience and one year of programming experience.
- A PhD may substitute for four years of analytics experience for Level 2 candidates.
- Four additional years of relevant experience may substitute for a bachelor's degree.
- Level 1 requires four years of analytics experience plus two years of programming with data analysis tools such as Python, R, SAS, or MATLAB.
- Level 2 requires eight years of analytics experience plus five years of programming with Python, R, SAS, or MATLAB.
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 SME 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.
Skills
Education
Job description
This Position is Contingent on Contract Award
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 SME 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.
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.
- 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
- Active Security Clearance with appropriate Polygraph.
Founded in 2007, Columbia Technology Partners is a Woman‑Owned, Service‑Disabled Veteran‑Owned Small Business specializing in technology and management consulting committed to solving intricate and sensitive technology issues facing corporations and federal agencies. CTP has a proven track record in information security, project management, systems/network engineering, security risk management, vulnerability assessments, and mobile security implementation; our employees bring the experience, expertise, and innovative thinking our customers need.
CTP is committed to transparency and fairness in our compensation practices. We believe in creating a work environment where employees feel valued, empowered, and rewarded for their contributions.
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.
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: 401(k) – 6% company contribution.
PTO + Leave: A work‑life balance is extremely important to our team here at CTP; our paid time off plans are generous. 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 to $20,000, if your referral joins the team.
Columbia Technology Partners 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 reflects our commitment to ensure equality and promote diversity and inclusion in the workplace. Our policy applies to all employees, job candidates, contractors, stakeholders, and visitors.
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