Data Scientist
Confirmed on the employer's own hiring board on Oct 26, 2026. First seen by Alion on Oct 22, 2026. Ignite Digital scores A on the Alion truth index.
Ignite Digital enables national security agencies to accelerate decisions, elevate operational outcomes and achieve the outsized performance only an inside partner can deliver.
We combine mission experience, domain knowledge and technology expertise with the things partners can only know by being there every day. When agencies need a combination of tech and touch, Ignite Digital creates outcome-driving partnerships and stands with agencies to accomplish mission objectives.
Ignite Digital accelerates capability to the speed of every mission, deploying intelligent solutions and AI integration for faster, better transformation. Ignite delivers partnership beyond presentations to inspire the confidence to lead in a digital-forward world.
Ignite Digital. The Edge from Within.
Perks of Working at Ignite Digital:
- Competitive pay and benefits, including PTO
- Education stipends and referral bonuses
- Compelling work with the U.S. federal government
- Strong emphasis on volunteer and community engagement
- Opportunity to shape the future of our industry
- Supportive colleagues and management who invest in your growth
Ignite Digital is seeking an experienced Data Scientist to support a U.S. Navy customer in the Norfolk, VA area. This role is ideal for a highly analytical, detail-oriented professional who thrives in data-driven environments and can translate complex analytical insights into actionable outcomes for both technical and non-technical stakeholders.
The Data Scientist will leverage advanced statistical methods, machine learning techniques, and data engineering practices to solve complex mission and business challenges within a Naval program environment.
Key Responsibilities:
Data Acquisition & Preparation:
- Gather data from multiple sources, including databases, APIs, and web scraping activities.
- Clean, transform, and prepare datasets for analysis.
- Develop and maintain automated data pipelines.
- Implement data quality checks, validation, and anomaly detection procedures.
Analysis, Modeling & Experimentation:
- Conduct exploratory data analysis (EDA) to extract insights, identify patterns, and detect anomalies.
- Build, optimize, and evaluate statistical models and machine learning algorithms (supervised/unsupervised/deep learning).
- Perform A/B testing and other experimental designs to evaluate solution efficacy.
- Continuously improve model accuracy, reliability, and performance.
Communication, Visualization & Reporting:
- Communicate complex analytical findings to technical and non-technical audiences clearly and effectively.
- Develop reports, presentations, dashboards, and visualizations to support decision-making.
- Create tools to monitor key metrics and operational performance.
- Document methodologies, models, results, and code.
Collaboration & Innovation:
- Work closely with cross-functional teams including data scientists, engineers, analysts, and mission stakeholders.
- Stay current with emerging technologies, data science trends, and toolsets.
- Participate in code reviews, knowledge sharing sessions, and team development activities.
- Identify business and mission problems suited for data-driven solutions and contribute to solution design.
- Troubleshoot and resolve data-related and pipeline issues.
Required Skills & Experience:
- 4+ years of professional experience in data analysis, data science, or a related field.
- Proficiency in Python or R.
- Experience with key data science libraries such as Pandas, NumPy, Scikit-learn, and others.
- Strong SQL skills and experience with relational or NoSQL databases.
- Hands-on experience with data visualization tools such as Tableau, Power BI, Matplotlib, or Seaborn.
- Solid understanding of statistical modeling (regression, classification, clustering).
- Experience developing and deploying machine learning models.
- Familiarity with cloud-based ML platforms such as AWS SageMaker, Azure ML, or Google Cloud AI.
- Experience with big data systems (Hadoop, Spark) is a plus but not required.
- Strong analytical thinking, problem solving, and organizational skills.
- Exceptional communication skills and the ability to manage multiple tasks effectively.
Education & Certifications:
- Bachelor’s or Master’s degree in a quantitative field such as:
- Computer Science
- Statistics
- Mathematics
- Engineering
- Economics
- Relevant professional certifications (e.g., cloud, data science, ML engineering, analytics) are valued.
Security Clearance:
- Active DoW SECRET clearance required.
Salary: $120k+ to align with education and experience.
Applicants selected will be subject to a government security investigation and must meet eligibility requirements for access to classified information.
Ignite Digital is a Small Business committed to providing exceptional service to government agencies at competitive prices. The capabilities and experience of our staff and our extensive industry relationships distinguish Ignite Digital Services among government contractors.
Equal Opportunity Employer/Veterans/Disabled
For individuals who would like to request an accommodation, please visit https://bit.ly/2XqZoLM (CA) or https://bit.ly/3Eo922f (SC) or contact Human Resources. Ignite Digital Services will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal employment opportunity, employment eligibility requirements or related matters. Nor will Ignite Digital Services require, in a posting or otherwise, U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract.