Data Scientist
- Salary
- $120k
- Level
- Mid
Not stated in the posting: work type, visa.
Open. First seen 22 October 2026.
About the role
Ignite Digital's standard text
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.
Ignite Digital's standard text
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.
Ignite Digital's standard text
OFCCP'S Pay Transparency Rule
EEO is the Law Poster
What this role asks for
Standard for data science / ML roles
Machine Learning · Python · SQL
Common in data science / ML postings at any company.
77% of this description is written for the role. The rest is Ignite Digital's standard text, folded away below.
Compared with Ignite Digital's other open jobs.
The team: Market Delivery HIRES STEADILY
This role is one of 40 open in Market Delivery. 27 were posted in the last 30 days and the oldest in April: a team that hires all year rather than one being built.
WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS
SQL (17 of 40), Power BI (16 of 40), Azure (13 of 40), Python (13 of 40), Machine Learning (11 of 40), AWS (10 of 40), JavaScript (9 of 40)
OTHER ROLES ON THIS TEAM
- Project Manager/ Scrum Master posted Oct 22
- Application Developer posted Oct 22
- Data Visualization Specialist posted Oct 22
- Data Visualization Engineer/ Developer posted Oct 22
- Data Architect posted Oct 22
- Data Governance Analyst posted Oct 22
- Data Governance Manager posted Oct 22
- Senior AI/ML Engineer posted Oct 22
- AI/ML Engineer posted Oct 22
- Senior Data Scientist posted Oct 22
- Analyst IV posted Oct 22
- Analyst III posted Oct 22
- Analyst II posted Oct 22
- Analyst I posted Oct 22
- Project Manager posted Oct 22
- Surface Modernization Data Analyst - Mid posted Oct 20
- Enterprise Information Technology Analyst and Project Manager posted Oct 19
- Sr. Business & Financial Management (BFM) Analyst posted Oct 13
- Data Engineer - Mid-Level posted Oct 13
- Sr. Data Engineer posted Oct 9
- Sr. Power Platform Developer posted Oct 9
- Mid Power Platform Developer posted Oct 9
- Systems Integration Consultant posted Oct 7
- Financial Analyst posted Oct 5
- Data & Technology Architect posted Oct 5
- Scrum Master posted Oct 2
- Power Platform Developer - Mid posted Sep 22
- Senior Power Platform Developer posted Sep 21
- Database Management Analyst III posted Sep 17
- Instructional Systems Specialist posted Sep 10
- Systems Engineer posted Sep 10
- UiPath Solutions Architect / Senior RPA Developer posted Sep 9
- Software Maintenance Subject Matter Expert (SME) posted Jul 23
- Mid Data Scientist posted Jul 22
- Data Analyst posted Jul 22
- Mid Data Engineer posted Jul 22
- Mid AI/ML Engineer posted Jul 22
- Senior Data Engineer posted May 21
- Mid-Level Financial Analyst posted Apr 2
From the team and dates on Ignite Digital's own job board.
Salary context
72 other open postings titled Data Scientist state a salary: median USD 140,000 to USD 200,000 a year.
See Data Scientist salaries in the United States →
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