DAn Solutions
Senior Data Scientist / Data Engineer / AI Engineer (Hybrid)
- Compensation
- Not disclosed
- Location
- Charlottesville, VA, US
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Contract
- Experience
- 3+ years
- Category
- Data engineering
- Posted
Skills
Must have
- Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field.
- 3+ years of Data Scientist experience supporting software development, analytics, or mission-focused systems.
- Experience applying statistical modeling, machine learning, and data-mining techniques to real-world datasets.
- Proficiency in Python, R, or Scala.
- Experience building data models and analytics that integrate into production software systems.
- Experience supporting the DoD, Intelligence Community, or other federal programs.
- Familiarity with visualization tools such as Tableau or Power BI.
- Strong SQL background with experience using PostgreSQL and Elasticsearch.
- Working knowledge of cloud-based data environments.
- Active TS/SCI clearance.
Full description
REQUIRES AN ACTIVE/EXISTING TS/SCI WITH CI POLYGRAPH - Hybrid, 30% weekly onsite presence required.
DAn Solutions is seeking a Senior Data Scientist / Data Engineer / AI Engineer to support advanced data analytics, data engineering, artificial intelligence, and machine learning capabilities for a federal intelligence customer.
This position will work with real-world mission data to develop analytics, predictive models, data pipelines, visualizations, and AI/ML capabilities that integrate into production software environments.
Responsibilities
- Conduct data analysis, data engineering, data mining, exploratory analysis, predictive analysis, and statistical analysis.
- Apply scientific and analytical techniques to large and complex datasets.
- Develop written, visual, graphical, and verbal data products.
- Design and implement data storage solutions using relational and non-relational databases.
- Develop scripts to cleanse, transform, and prepare data for operational use.
- Create AI/ML-based tools to improve analysis and automate processes.
- Integrate AI capabilities into software-development applications.
- Develop and evaluate data models and analytical capabilities for production systems.
- Assess and communicate risks associated with AI/ML implementations.
- Support data visualization and reporting.
Required Qualifications
- Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field.
- 3+ years of Data Scientist experience supporting software development, analytics, or mission-focused systems.
- Experience applying statistical modeling, machine learning, and data-mining techniques to real-world datasets.
- Proficiency in Python, R, or Scala.
- Experience building data models and analytics that integrate into production software systems.
- Experience supporting the DoD, Intelligence Community, or other federal programs.
- Familiarity with visualization tools such as Tableau or Power BI.
- Strong SQL background with experience using PostgreSQL and Elasticsearch.
- Working knowledge of cloud-based data environments.
- Active TS/SCI clearance.
Desired Certifications
- Certification in machine learning, data analytics, or cloud platforms.