Full Job Description
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.
