Overview

Data Scientist

Reston, VA (hybrid/remote) - this role requires that you are onsite 2 days a week

Active TS/SCI

Are you ready to lean into analytic approaches that show customers the power of both technical and methodological innovation? Join our growing team supporting customer missions as a Data Scientistin Reston, VA (remote/hybrid-2 days a week onsite required)

Responsibilities

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 programs 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.

Qualifications

Required Qualifications:

• Active TS/SCI
• Bachelors 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)
• 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

What you can expect from us