About the position
As a Principal Data Scientist, you’ll be passionate about research, design, development, and deployment of cutting-edge AI solutions. The ideal candidate will have deep expertise in machine learning, data analytics, and statistical modeling, with a strong ability to drive innovation through data-driven insights. They will be able to collaborate across multidisciplinary teams, contribute to open-source projects, and mentor junior team members. A deep understanding of cloud platforms, AI/ML frameworks, and large-scale data systems is essential, as well as a passion for pushing the boundaries of what is possible in the AI space to create scalable, impactful solutions for the federal government. 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.
Responsibilities
- Work with a collaborative team, closely with business partners and cloud infrastructure/technology teams to meet customer requirements.
- Deliver automation AI use cases from pilot design to release.
- Implement various AI/ML solutions and map success to delivering tangible value.
- Engage in both experimentation and integration.
- Apply tools and techniques that enable scalability and reliability of model deployments.
- Utilize NLP and LLMs for custom use cases.
- Scope, architect, and evaluate models for use in production.
Requirements
- 12+ years of experience within technical domain.
- Bachelor’s Degree plus 4+ years of experience in data analytics, or master’s degree plus 2 years of experience in data analytics, or PhD.
- 4+ years of experience in open-source libraries for large scale data analysis such as Dask, Spark, or Ray.
- 4+ years of experience with ETL, relational databases and data services.
- Experience with cloud-based machine learning services.
- Proficiency in Python or C++.
- Experience in building and deploying ML models using libraries such as TensorFlow, PyTorch, HuggingFace or TensorRT.
Benefits
- Health, dental, and vision insurance.
- 401(k) retirement plan with company match.
- Paid time off (PTO) and holidays.
- Parental Leave and dependent care.
- Flexible work arrangements.
- Professional development opportunities.
- Employee assistance and wellness programs.
