Mid-level Data Scientist

At Bcore, our strength comes from how we deliver impact to the mission. Whether it’s architecting critical IT solutions, producing actionable intelligence, or developing cutting edge technology, we succeed because of the expertise, collaboration, and agility of our teams. Bcore Labs accelerates innovation with rapid prototyping, hardened solutions, and transformative architectures. Bcore accelerates decisive advantage for warfighters and intelligence professionals by fusing human insight, rapid-fire engineering, precision-measured outcomes, and relentless grit into mission-ready solutions. We seek a Mid-level Data Scientist to support a client in hybrid remote / Reston, VA.

What you get to do everyday:

• Support the Advanced Data Consortium (ADC), a member-driven program that enables participating organizations to share, analyze, and act on complex data sets across a secure, cloud-hosted environment.
• Contribute to a SAFe/Scrum delivery team, participating in sprint planning, standups, reviews, and retrospectives.
• Analyze large and complex structured and unstructured data sets to identify trends, patterns, and anomalies that support member decision-making.
• Build and maintain automated data collection and ingestion pipelines using AWS GovCloud services.
• Develop and refine predictive models and machine learning algorithms, including ensemble approaches, to address Key Intelligence Questions (KIQs) posed by ADC members.
• Design and deliver data visualizations that communicate findings clearly to both technical teams and non-technical stakeholders.
• Support the ADC member directory and opt-in/opt-out data governance framework, ensuring data is surfaced appropriately based on member permissions.
• Partner with the ADC Portal engineering team to process member data samples and match against customer requirements, in coordination with the program’s vendor management team.
• Propose data-driven solutions and analytic strategies in response to evolving member requirements.
• Assist in developing and documenting data suitability processes, tracking analytic requirements, and conducting follow-up engagements with customer and vendor on technical access and quality issues.

Required Qualifications:   

• Bachelor’s degree in Data Science, Computer Science, Mathematics, Statistics, Engineering, or a related technical discipline; equivalent combination of education, technical training, or military experience will be considered.
• 3 to 5 years of experience in a data science, data analytics, data engineering, or related analytical role.
• Experience working with or supporting U.S. government programs, federal agencies, or the Intelligence Community is strongly preferred.
• Proficiency in Python for data analysis, automation, and pipeline development.
• Proficiency in SQL for querying, joining and transforming data in relational stores such as PostreSQL.
• Experience building and managing automated data pipelines and collection workflows on AWS GovCloud (e.g., Lambda, Glue, S3, Step Functions).
• Ability to preprocess, clean, and prepare both structured and unstructured data sets for analysis.
• Experience developing machine learning models and applying data visualization techniques to communicate analytical results.
• Familiarity with containerized environments and microservices architecture.
• Working knowledge of access management and data governance principles, including role-based permissions and secure data sharing practices.
• Strong written and verbal communication skills, with the ability to present findings to varied audiences.
• Ability to work independently and manage multiple priorities in a fast-paced program environment.

Desired Qualifications:  

• Prior experience supporting Intelligence Community programs or military intelligence organizations.
• Familiarity with consortium, membership, or directory-based data platforms and opt-in/opt-out data governance models.
• Experience with AWS SageMaker or similar cloud-native ML toolsets within a GovCloud environment.
• Experience building data pipelines using Apache Spark, Kafka, or Apache NiFi.
• Knowledge of IAM policies, S3 bucket security, VPN, and SSH access controls.
• Experience with data visualization platforms such as Tableau, Power BI, or custom web-based dashboards.

BCore is proud to be an equal opportunity workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, sexual orientation or any other characteristic protected by law.