Data Scientist - TS/SCI Jobs
$112,200 - $196,400 per year
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Posted today
SENIORITY
Senior
SALARY
$112,200 - $196,400 per year
About the role
- Design, develop, and operationalize predictive models, machine learning algorithms, and advanced analytics to solve mission-critical DoD use cases
- Perform data exploration, feature engineering, and statistical analysis using large, complex datasets from diverse sources
- Collaborate with data engineers, product managers, and mission stakeholders to define requirements and deliver impactful solutions
- Deploy, monitor, and sustain AI/ML models in secure DoD environments, ensuring performance and compliance with DoD standards
- Visualize and communicate analytical results to senior leaders, supporting operational decision-making and strategic planning
- Lead and mentor junior data scientists, fostering innovation and best practices in model development and analytics
- What Required Skills You'll Bring: Active TS/SCI security clearance at the time of hire
- Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or related field
- Minimum 3-5 years of experience in data science, machine learning, or advanced analytics roles
- Proficiency in Python, R, or similar languages for statistical analysis and model development
- Experience developing and deploying AI/ML models, including supervised and unsupervised learning techniques
- Strong understanding of data security, governance, and compliance in federal/DoD environments
- What Desired Skills You'll Bring: Experience with Palantir Foundry, Microsoft Mission Support Systems (MSS), Qlik, Databricks, War Data Platform (WDP), or Advana
- Proficiency with Power Platform or Power Apps for integrating analytics with decision workflows
- Advanced visualization skills using tools such as Tableau, Qlik, or Power BIFamiliarity with cloud analytics platforms (AWS, Azure, GCP) and scalable model deployment
- Experience supporting operational DoD analytics, AI/ML, or data-driven mission applications
- Advanced degree or certifications in data science, machine learning, or cloud analytics
- Leadership experience mentoring data science teams or managing analytics projects
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
It's what we read first. Occupations, seniority and locations matter more than a long history.
Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.
