Data Scientist
GeoYeti, a division of Bcore · Reston, VA · 4 wk ago
Engineering$130k–$165k/yrFull-time
About the role
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. The Data Scientist position supports 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.
Responsibilities
- 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.
- 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.
- 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.
- Aid 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.
Requirements
- Active TS/SCI Eligibility
- Bachelor’s degree in Data Science, Computer Science, Mathematics, Statistics, Engineering, or a related technical discipline
- 3-5 years of experience in a data science, data analytics, data engineering, or related analytical role
- 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)
- Experience preprocessing, cleaning, and preparing 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
- 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
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
Skills
- Python for data analysis, automation, and pipeline development
- 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)
- Preprocessing, cleaning, and preparing both structured and unstructured data sets for analysis
- Developing machine learning models and applying data visualization techniques to communicate analytical results
- Containerized environments and microservices architecture
- Data visualization platforms such as Tableau, Power BI, or custom web-based dashboards
Benefits
- Health/Dental/Vision
- 401(k) match
- Paid Time Off
- STD/LTD/Life Insurance/Voluntary Life Insurance
- Stipends
- Referral Bonuses