As
Sr. Data Scientist II, you’ll lead efforts to conceptualize, design, implement, and support AI test and evaluation (AI T&E) workflows for AI/ML uses involving computer vision. The ideal candidate will have strong experience in AI/ML orchestration tools, modeling and simulation, and Python, and have a deep understanding of data science principles. Familiarity with computer vision ML practices is a significant advantage.We know that you can’t have great technology services without amazing people.
At MetroStar, we are obsessed withour people and have led a two-decade legacy of building the best and brightest teams. Because we know our future relies on our deep understanding and relentless focus on our people, we live by our mission: A passion for our people. Value for our customers.If you think you can see yourself delivering our mission and pursuing our goals with us, then check out the job description below!
What you’ll do:
- Lead Computer Vision AI/ML efforts as part of a ~10-person cross-functional team
- Understand customer AI workflows and recommend T&E practices, procedures, and tooling.
- Develop AI/ML workflows that demonstrate best practices and serve as references.
- Conduct simulations to evaluate the performance of proposed solutions.
- Collaborate with engineering teams to integrate tooling into operational systems.
- Document and present findings to stakeholders, providing actionable insights and recommendations.
- Stay informed about emerging trends in data science and machine learning to incorporate cutting-edge techniques.
- Troubleshoot and resolve technical challenges related to modeling and simulation.
What you’ll need to succeed:
- An active DoD Secret clearance
- Bachelor’s degree in Data Science, Computer Science, Mathematics, Statistics, or a related field (Master’s or PhD preferred).
- 7+ years of experience in data science, with a focus on model development and optimization.
- Hands-on experience with Python for data analysis, modeling, and simulation.
- Experience working with computer vision models, tools, and systems.
- Strong proficiency in Python and associated data science libraries (e.g., pandas, NumPy, scikit-learn, PyTorch, MLFlow).
- Experience with simulation tools and techniques.
- Solid understanding of machine learning concepts, statistical analysis, and algorithm design.
Like we said, we are big fans of our people. That’s why we offer a generous benefits package, professional growth, and valuable time to recharge. Learn more about our company culture code and benefits. Plus, check out our accolades.
Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment based on merit and without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, status as a protected veteran, or any other status protected by applicable federal, state, local, or international law.
What we want you to know:
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.
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