Senior Data Scientist II – Health Care Analytics - Chicago, DC or Remote NORC at the University of Chicago
Washington, D.C.30+ days agoRemote
- $160,000–$190,000 Per Year
Want to know if you’re a fit?
Upload your resume and let our AI show you.
Upload your resume and let our AI show you.
Skills
- Amazon Web Services (AWS)unmatched
- Analysis Skillsunmatched
- Artificial Intelligence (AI)unmatched
- Best Practicesunmatched
- Cloud Computingunmatched
- Communication Skillsunmatched
- Continuous Deployment/Deliveryunmatched
- Continuous Integrationunmatched
- Data Managementunmatched
- Data Scienceunmatched
- Distributed Computingunmatched
- Dockerunmatched
- Ecosystemsunmatched
- GCP (Good Clinical Practices)unmatched
- Leadershipunmatched
- Machine Learningunmatched
- Microsoft Windows Azureunmatched
- Modeling Languagesunmatched
- Problem Solving Skillsunmatched
- Product Engineeringunmatched
- Production Controlunmatched
- Python Programming/Scripting Languageunmatched
- Research Skillsunmatched
- Sales Pipelineunmatched
- Team Playerunmatched
Description
Data Scientist
Washington, DC (Hybrid)
About the Role:
We are looking for a highly motivated Data Scientist with a strong background in applied machine learning and AI to join our growing team. In this role, you will be a key contributor to the development of core AI/ML solutions that power our platform. You will collaborate closely with product and engineering teams, applying state-of-the-art techniques to solve complex challenges, advance our use of large language models (LLMs), and ensure scalable, production-ready solutions.
Key Responsibilities:
- Leverage 5+ years of experience in data science to design, implement, and optimize machine learning models and pipelines.
- Develop, fine-tune, and evaluate large language models (LLMs) for a variety of applications, ensuring accuracy, performance, and robustness.
- Collaborate with engineering and product teams to integrate AI/ML solutions into our platform in a scalable and maintainable way.
- Conduct applied research, staying current on advances in LLMs, generative AI, and data science methodologies, and translate them into practical solutions.
- Build end-to-end workflows, from data exploration and feature engineering to training, validation, deployment, and monitoring in production.
- Apply modern containerization and orchestration techniques (e.g., Docker, Kubernetes) to support reproducible experimentation and deployment.
- Work with cloud platforms (e.g., Databricks, AWS, GCP, Azure) to manage data pipelines, large-scale training jobs, and distributed systems.
- Collaborate across teams to ensure our AI capabilities align with platform goals and business needs.
Qualifications:
- 5+ years of experience as a Data Scientist or Machine Learning Engineer, with proven success in deploying models to production.
- Hands-on experience with large language models (LLMs); fine-tuning experience strongly preferred.
- Strong background in Python and ML frameworks such as PyTorch or TensorFlow.
- Proficiency in containerization and orchestration technologies (Docker, Kubernetes).
- Experience with cloud platforms and ML ecosystems (Databricks, AWS, GCP, Azure).
- Familiarity with MLOps best practices, including model deployment, monitoring, and CI/CD for ML.
- Strong analytical and problem-solving skills, with the ability to translate research into production-ready solutions.
- Excellent communication and collaboration skills, with the ability to work effectively across product, engineering, and leadership teams.
- A proactive, self-starter mindset with a passion for applied research and innovation.
Numbers & Facts
| Location | Washington |
| Website | https://squared.ai |
Similar Jobs
Senior Research Scientist – State Health Evaluation and Applied Health Economics NORC at the University of Chicago
Washington, D.C.17 days ago- $136,000–$195,000 Per Year
Junior Data scientist/Engineer/developer SynergisticIT
Washington, DC20 days ago- $82,000–$127,000 Per Year
- Full-time
Research Scientist - Aging and Disability Economics, Evaluation, and Public Health Surveillance NORC at the University of Chicago
Washington, D.C.30+ days ago- $106,000–$130,000 Per Year
Research Scientist – Value-based payment (VBP) and delivery system transformation - Chicago, Washington DC or Remote NORC at the University of Chicago
Washington, D.C.30+ days agoRemote- $106,000–$130,000 Per Year
- New!
Senior Associate, EVS Economic Services Data Science with Clearance KPMG
Washington, DC3 days ago