Senior Applied Scientist

What you will do

• Own the design, performance, and evolution of the algorithms that power Garner’s core systems
• Turn messy, real-world healthcare and business constraints into clear optimization problems, scoring systems, and decision frameworks
• Develop objective functions and metrics that balance quality, cost, access, and member experience
• Evaluate system performance, run experiments, and refine logic based on real-world outcomes
• Apply machine learning, optimization, heuristics, or rules-based approaches based on what best solves the problem
• Work closely with engineering to deploy systems that are scalable, interpretable, and resilient
• Build a deep understanding of the healthcare economy

Requirements

• 2+ years of experience shipping data-driven algorithms to production
• Strong applied problem-solving skills, with the ability to define good metrics and then deliver solutions that improve them
• Strong judgment in choosing between statistical models, heuristics, optimization approaches, and simpler algorithmic methods depending on the problem
• Strong communication skills and the ability to synthesize complex algorithmic ideas for business and technical stakeholders
• A bias toward action, quickly translating ideas into working prototypes to test approaches
• A desire to be a part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedback

Technologies

• Python
• SQL
• AWS
• Snowflake
• pandas
• XGBoost