Data Scientist

About the Role

DCCA is a veteran-owned high-technology company specializing in providing information technology services to a variety of government agencies and commercial enterprises since 1982. For over 40 years, DCCA has provided a broad range of IT services to government agencies and commercial enterprises, helping them to feel confident in their IT infrastructure. With DCCA, these organizations can be confident in the flexibility and skill of their IT partners, allowing them to upgrade their technology quickly and efficiently. Better yet, thanks to DCCA's successful track record, clients can rest assured knowing DCCA can tackle any problem with ease, allowing them to focus on the work that matters. Internally, DCCA prides itself on a culture built on integrity and inclusivity, allowing its employees to build lasting skills and relationships. As a veteran owned business, DCCA knows the importance of recruiting employees with a wide range of backgrounds, allowing for every problem to be approached by a diverse array of perspectives. Join us and be part of a team that has a people first mentality and a dedication to excellence.

Key Tasks

• Advanced Analytics & Modeling: Design, develop, and validate predictive models, statistical algorithms, and machine learning models to solve complex federal business and operational challenges.
• Data Processing & Pipeline Integration: Extract, clean, and analyze large volumes of structured and unstructured data from disparate sources using ETL tools and cloud-native data services (e.g., AWS Glue, Apache Kafka).
• Anomaly Detection & Fraud Prevention: Implement advanced algorithms (such as Isolation Forests) to detect anomalies in large transactional or operational datasets, enhancing audit efficacy and risk mitigation.
• Data Visualization & Reporting: Translate complex analytical findings into intuitive dashboards, reports, and interactive visualizations using tools like Amazon QuickSight, Tableau, or Power BI to empower executive decision-making.
• Cross-Functional Collaboration: Collaborate with cross-functional Agile teams, subject matter experts, and AI/ML engineers to seamlessly integrate data science models into production applications and microservices.
• Security & Data Governance: Ensure all data handling and model deployments strictly adhere to federal data privacy regulations, HIPAA, the Privacy Act, and DoD/NIST security standards.
• Continuous Improvement: Monitor model performance in production environments, retraining and tuning models as necessary to prevent drift and ensure sustained accuracy over time.

Required Skills

• Experience: Minimum of 5+ years of professional experience in data science, advanced analytics, or machine learning engineering.
• Programming Languages: High proficiency in Python and R for data manipulation and modeling, as well as strong advanced SQL skills for complex database querying (e.g., PostgreSQL, Oracle).
• Machine Learning Frameworks: Extensive hands-on experience with core ML and data science libraries (e.g., Pandas, NumPy, Scikit-Learn, TensorFlow, PyTorch).
• Cloud & Big Data: Demonstrated experience operating within cloud ecosystems (AWS GovCloud preferred) and utilizing big data technologies and data lakes (e.g., AWS S3, EMR, Redshift).
• Clearance: TS/SCI w/Poly.

Desired Skills

• Prior experience supporting federal government agencies (e.g., Intelligence Community) with complex data analytics.
• Familiarity with Natural Language Processing (NLP) and Edge AI applications.
• Experience with DevSecOps practices, CI/CD pipelines, and version control (e.g., Git) for collaborative model development (MLOps).
• Active industry certifications (e.g., AWS Certified Data Analytics, AWS Certified Machine Learning, or equivalent).

Education

• Bachelor's or master's degree in Data Science, Statistics, Applied Mathematics, Computer Science, or related quantitative discipline.

Pay

• The proposed salary range for this position in Virginia is 195,000 to 260,000. Final salary will be determined based on various factors.

Benefits

• Healthcare
• Retirement plan
• Paid disability and life insurance programs
• Employee assistance program
• Paid and unpaid leave programs
• Education assistance
• Wellness initiatives
• Competitive compensation with annual salary review ensuring pay is equitable across both the company and industry at large
• Growth opportunities including upskilling programs, recertification support, and professional development
• Emphasis on inclusivity supported by business resource groups and opportunities for connection
• Empowering health benefits including healthcare, paid time off, and flexible 401(k) options
• Mission focused work on innovative projects that improve people's lives and solve today's IT problems