Sr. Data Scientist

Job Details

• Clearance Requirement: Active Secret security clearance
• Location: Willing/Able to travel to customer site, as needed
• Salary: $138,000 - $184,000 annually

About the Role & Company

As Sr. Data Scientist I, you’ll have the ability to blend hands-on data science with mission-focused delivery, translating user needs and product requirements into scalable AI/ML solutions that drive operational impact. The individual develops and refines models, builds robust data pipelines, and supports testing and deployment while collaborating closely with cross-functional teams. They also act as a technical mentor and trusted partner to stakeholders, ensuring solutions are practical, aligned to mission objectives, and continuously improved.

We know that you can’t have great technology services without amazing people. At MetroStar, we are obsessed with our 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.

What You’ll Do

• Work daily with cross-functional teammates to translate user requirements, wireframes, and feature specifications into data science solutions that support mission needs.
• Develop, test, and refine analytic models and workflows, contribute to automated and end-to-end testing, and help estimate the level of effort for new enhancements or requirements.
• Serve as a technical mentor to other team members and engage with mission partners as needed to ensure solutions are practical, effective, and aligned to operational objectives.

What You’ll Need to Succeed

• An active Secret security clearance.
• BA/BS in Computer Science, Information Technology or related field.
• 4+ years of experience in developing and deploying AI/ML models in production.
• Proficiency with applying quantitative methods to structured & unstructured data for data analysis, pattern recognition, insights generation, metrics development, and scaling analytical tools.
• Strong programming skills in large scale data manipulation & processing including SQL, Advanced Python, and experience with libraries like scikit-learn, Pandas, and NumPy.
• Knowledge of Deep Learning frameworks (NLP, Computer Vision), and experience with GenAI/LLMs, and familiarity with frameworks like PyTorch or TensorFlow.
• Willing/Able to travel to customer site, as needed.

Compensation & Benefits

• Compensation Structure: $138,000 - $184,000 determined based on qualifications, skills, and relevant experience. Eligible for performance-based bonuses, company-paid training/certifications, and referral bonuses.
• Health & Wellness: Health, dental, and vision insurance. Employee assistance and wellness programs.
• Financial: 401(k) retirement plan with company match.
• Work-Life Balance: Paid time off (PTO) and holidays, Parental Leave and dependent care, Flexible work arrangements.
• Growth: Professional development opportunities.

Equal Opportunity & Compliance

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, or any other status protected by applicable law. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States.