Data Scientist

9th Way Insignia is a service-disabled, veteran-owned small business bringing transformative technology to our government customers so they can achieve their missions. Our specialties include cybersecurity, cloud modernization, software development, data analytics, enterprise architecture, enterprise IT, analytics, process automation, and artificial intelligence. Learn more about 9th Way Insignia at

Application password: Niner

9th Way Insignia is seeking a Data Scientist to support a government customer in Washington, DC. The Data Scientist will support enterprise data modernization, advanced analytics, reporting, automation, and decision-support initiatives across multiple business lines. This position aligns to the Engineer 3 professional level within 9th Way Insignia's career families and is expected to operate as a senior technical resource with strong analytical depth, architectural awareness, and the ability to support production delivery with minimal ramp-up time.

Professional Level Information

An Engineer, 3 typically plans and directs research or development work on complex projects, along with engaging various parties in design and development. Costs and recommendations of new components may also involve part of the job scope. Performs multiple engineering-related tasks in various assignments within the project and firm. An Engineer, 3 oversees the design, development, implementation, and analysis of technical products and systems. An Engineer, 3 has broad knowledge of engineering procedures and assists in the resolution of complex problems. An Engineer, 3 has strong technical skills and background, a knack for learning new technologies, and a blend of good problem-solving and innovation needed to resolve a wide variety of technical production challenges.

Functional Job (LCAT) Information

The Data Scientist is responsible for analyzing and architecting data solutions that support enterprise reporting, analytics, operational decision-making, and future business line priorities. This role serves as a senior technical contributor focused on understanding complex datasets, identifying trends, gaps, anomalies, and structural risks, and designing data architectures and analytical approaches that improve the quality, accessibility, and usability of enterprise information.

The Data Scientist works closely with ETL Developers, Power BI Developers, Data Analysts, Power Apps Developers, Technical Project Managers, testers, technical writers, and Government stakeholders to assess data sources, define business and technical data requirements, evaluate impacts across systems, and guide the implementation of sustainable enterprise solutions. This role also contributes to technical planning, ROM development, task breakdowns, documentation, and identification of risks, dependencies, and opportunities for efficiency in support of more mature and predictable delivery.

Responsibilities
• Be available on Government site in Washington, DC during normal hours of operation.
• Analyze large and complex datasets to identify trends, gaps, anomalies, integrity issues, and structural risks affecting reporting, analytics, and operational processes.
• Design data architecture approaches, integration strategies, and analytical frameworks that support current and emerging enterprise priorities across business lines.
• Assess new and existing data sources to determine structure, quality, completeness, relationships, and suitability for operational and analytical use.
• Define and refine conceptual, logical, and physical data models that support enterprise reporting, automation, and decision-support needs.
• Work closely with ETL developers and analysts to validate business rules, identify data integrity issues before deployment, and provide corrective guidance on implementation approaches.
• Support requirements analysis, backlog refinement, sprint planning, sprint demonstrations, and incremental delivery of technical capabilities in an agile environment.
• Contribute to minimum viable product planning and incremental enhancement of data and analytical capabilities over multiple sprint cycles.
• Develop and maintain documentation as part of normal delivery activities, including system and architecture documentation, data flow documentation, runbooks, data definitions, and operational procedures.
• Provide technical recommendations regarding solution architecture, task sequencing, ROM estimates, risks, dependencies, alternatives, and opportunities for improved efficiency or reuse.
• Promote standard approaches to delivery, clear work tracking, and repeatable practices that support process maturity and more predictable outcomes.
• Support multiple business lines and enterprise priorities as required.
• Mentor less senior team members and support the overall quality and maintainability of technical deliverables.
• Other responsibilities as assigned.

Requirements
• Master's degree in Computer Science, Information Systems, Data Science, Data Analytics, Mathematics, Statistics, Engineering, or other technical discipline. Additional relevant experience may be substituted for a degree consistent with contract requirements.
• Minimum 5 years of relevant experience in data architecture, data analysis, data science, enterprise analytics, data warehousing, or related technical delivery roles. 10 additional years of experience in lieu of degree.
• Demonstrated experience analyzing large datasets and identifying trends, gaps, anomalies, structural risks, and data integrity issues.
• Experience designing or supporting conceptual, logical, and physical data models in enterprise environments.
• Experience translating ambiguous business needs into structured data logic, technical requirements, and implementable architectural approaches.
• Experience validating business rule implementation and providing corrective guidance to technical delivery teams.
• Experience with SQL, relational data structures, data integration concepts, and enterprise reporting or analytics environments.
• Experience supporting agile or iterative delivery efforts with backlog-driven work, sprint-based execution, and incremental releases.
• Experience preparing and maintaining technical documentation supporting architecture, operations, continuity, and knowledge transfer.
• Ability to operate effectively in an enterprise production environment with minimal ramp-up time.
• Must be authorized to work for any employer in the U.S.
• Must be able to obtain and maintain the required security clearance.

Preferred/Desired
• Experience supporting federal government customers in enterprise data warehouse, reporting, analytics, or decision-support environments.
• Experience supporting advanced analytics, enterprise reporting modernization, or data-driven process improvement efforts across multiple business lines.
• Experience working closely with ETL, reporting, and application development teams in governed production environments.
• Experience contributing to ROM development, effort estimation inputs, and documentation of risks, dependencies, and alternatives.
• Experience working in environments emphasizing documentation, process maturity, repeatability, and disciplined delivery practices.
• Current Public Trust or ability to obtain a Public Trust clearance quickly.

Salary Range

$120,518-$145,000 USD

9th Way Insignia's range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

Clearance/Background Investigation
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.

Benefits
Eligible employees will have access to our comprehensive benefits package which includes Medical, Dental, Vision, Voluntary Life Insurance, 401(k), Basic Life A&D, STD, LTD, PTO, Telehealth, paid holidays, FSA, HSA. Additional resources include our Employee Assistance Program (EAP) and Traveling Assistance.

Legal
We're an equal employment opportunity employer that empowers our people to fearlessly drive change - no matter their race, color, religion, sex (including pregnancy, childbirth, lactation, or related medical conditions), national origin, age, marital status, sexual orientation, gender identity, disability, veteran status, military or uniformed service member status, genetic information, or any other status protected by applicable federal, state, or local law.