Senior Data Scientist / AI Scientist
Arlington, VA — Hybrid · Full-time
$160,000–$225,000 + bonus + stock options
Turn complex data into AI that changes how missions are run
BluJuniper is an AI and optimization company building advanced software for complex operational environments.
Our engineers work on systems that bring together real-time communications, computer vision, audio intelligence, natural language processing, navigation, geospatial data, optimization, and secure cloud infrastructure.
We are looking for a Senior Data Scientist / AI Scientist who wants to build machine learning and deep learning models that solve real operational problems, not just win benchmarks.
What You’ll Build
You may work on:
- Machine learning and deep learning models built with Python and PyTorch.
- Data mining workflows that uncover patterns in complex datasets.
- Optimization and predictive models that support decision-making.
- Visualizations that make model results clear to leaders and operators.
The Role
You will own problems from data exploration through modeling, evaluation, and deployment across government and commercial programs.
You will work with engineers and stakeholders to make sure models deliver measurable value.
Responsibilities
- Develop machine learning and deep learning models in Python and PyTorch.
- Design data mining and feature engineering workflows.
- Evaluate models rigorously and communicate results clearly.
- Build data visualizations and analytic tools.
- Partner with engineers to deploy models into production.
- Document methods, assumptions, and results.
Required Qualifications
- Advanced degree in Computer Science, Statistics, Mathematics, Physics, or a related field, or equivalent experience.
- 5+ years of professional data science or machine learning experience.
- Strong proficiency in Python and PyTorch.
- Experience with deep learning, statistics, and data mining.
- Experience with data visualization tools.
- Legally authorized to work in the United States.
- Ability to obtain and maintain a U.S. government security clearance.
Preferred Qualifications
- Experience with computer vision, NLP, or time-series modeling.
- Experience with optimization or operations research.
- Experience with MLOps and production model deployment.
- Experience supporting federal or defense programs.
- Active or previously held U.S. government security clearance.
Why This Role Is Different
Your models will inform real decisions on real missions, and you will work directly with the engineers and leaders who put them to use.
What Success Looks Like
Success means models that are rigorous, explainable, and adopted, delivering results people can see and trust.
Compensation
The base salary range for this position is $160,000–$225,000 per year, depending on experience, qualifications, and other relevant factors.
Eligible employees may also receive performance bonuses and stock options in addition to base salary.
Location
This is a hybrid role based in Arlington, VA.
Benefits
Eligible employees receive:
- Health, dental, and vision coverage.
- Performance bonus opportunities.
- Stock options.
- Flexible work environment.
- Significant technical ownership.
- Direct influence over product and architecture decisions.
- Opportunities to work across AI/ML, distributed systems, computer vision, audio, NLP, navigation, optimization, and real-time infrastructure.
- A collaborative engineering environment with direct visibility into company and product strategy.
Work Authorization and Clearance Eligibility
Candidates must be legally authorized to work in the United States and must be able to obtain and maintain a U.S. government security clearance.
Certain customer, contractual, or regulatory requirements may require additional eligibility verification.
Equal Opportunity Employer
BluJuniper is an equal opportunity employer. We consider qualified applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, or any other characteristic protected under applicable law.
Turn governance, automation, and AI into measurable outcomes, not slideware.
Large IT programs run 45% over budget and deliver 56% less value than promised. We close that gap with disciplined execution, AI-enabled governance, and ROI you can defend.
Source: McKinsey & Oxford, Delivering large-scale IT projects
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