Data Scientist (Mid)

Streamline Defense; Washington (District of Columbia); On-site; USD 120,000 - 180,000; Full time

Job summary

Streamline Defense is seeking mid-level Data Scientists to support the DIA RIIA program on-site at DIA Headquarters, Joint Base Anacostia-Bolling in Washington, DC. Multiple positions are available.

An active TS/SCI clearance and willingness to complete a CI Polygraph are required. You will apply data science, statistical, and ML methods to support analytic missions, test and evaluate models, and collaborate with analysts, engineers, and mission stakeholders.

Qualifications

• Active TS/SCI clearance with CI Polygraph.
• 3+ years in data science or related fields.
• Experience testing and evaluating AI/ML models.
• Experience supporting DoW and/or IC clients.
• Excellent verbal and written communication skills.
• Excellent interpersonal skills and demonstrated teamwork.

Responsibilities

• Apply data science, statistical, and machine learning methods to support DIA analytic missions.
• Perform testing and evaluation of AI/ML models, including assessing model performance, reliability, and fitness for mission use.
• Collaborate with analysts, engineers, and mission stakeholders in cross-functional teams.
• Communicate technical findings clearly, both verbally and in writing, to technical and non-technical audiences.

Skills

Data science

Statistical analysis

Machine learning

Communication

Education

Bachelor's degree in quantitative field

Tools

Python

ML frameworks

Model testing

Job description

Overview

Streamline Defense is seeking mid-level Data Scientists to support the Defense Intelligence Agency (DIA) RIIA program on-site at DIA Headquarters, Joint Base Anacostia-Bolling (JBAB) in Washington, DC. Multiple positions are available. An active TS/SCI clearance and willingness to complete a CI Polygraph are required.

Responsibilities

• Apply data science, statistical, and machine learning methods to support DIA analytic missions.
• Perform testing and evaluation of AI/ML models, including assessing model performance, reliability, and fitness for mission use.
• Collaborate with analysts, engineers, and mission stakeholders in cross-functional teams.
• Communicate technical findings clearly, both verbally and in writing, to technical and non-technical audiences.

Requirements

• Active TS/SCI clearance and willingness to complete a CI Polygraph.
• 3+ years of experience in data science, data engineering, analytics, statistics, computer science, or related fields.
• Experience in or ability to perform testing and evaluation of AI/ML models.
• Experience supporting DoW and/or IC clients.
• Excellent verbal and written communication skills.
• Excellent interpersonal skills and demonstrated experience collaborating in teams.
• Bachelor's degree in quantitative social science, statistics, data science, or computer science, or four additional years of experience in those fields.

Desired Qualifications

• Active TS/SCI clearance with a completed CI Polygraph.
• Master's degree or Ph.D. in quantitative social science, statistics, data science, or computer science.
• Experience with GEOINT and/or large language models (LLMs).
• Experience performing or supporting all-source analysis.

About Streamline

Streamline is a professional and technical solutions company focused on the U.S. Defense, Intelligence, and Special Operations communities. Our talented team of analysts, engineers, and military professionals support our clients' most demanding missions. We offer an unmatched opportunity to grow and learn in an exciting and entrepreneurial environment. Highly motivated individuals will find a culture that values their individual input and compensates them well for their efforts.

Streamline provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.