Jobs · Engineering · Virginia

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

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