Senior Applied Scientist

About the role

We are seeking an exceptional Senior Applied Scientist to join our Applied Science team. In this role, you will design, develop, and deploy the algorithmic systems that power Garner's products and drive meaningful impact for our members.

Responsibilities

• Own the most ambiguous, high-stakes problems on the team end-to-end, and serve as a technical resource others rely on
• Frame messy, real-world healthcare and business constraints into clear objectives, tradeoffs, and decision frameworks
• Define the set of metrics needed to judge whether a solution is working, and validate solutions before they ship
• Choose the right approach for each problem, from machine learning to optimization to heuristics to simple rules, based on what the problem actually calls for
• Find novel ways to frame and solve the team's hardest problems, proving out approaches that others build on
• Set the bar for quality by reviewing others' work with rigor, and build the standards and evaluation tooling the team relies on
• Build a deep understanding of the healthcare economy and Garner's place in it

Requirements

• 4+ years of industry experience as an Applied Scientist, Machine Learning Engineer, Research Scientist, or equivalent; or 2+ years of industry experience with a relevant advanced degree, PhDs preferred
• A bias toward action, quickly translating ideas into working prototypes to test approaches
• Strong applied problem-solving skills, with the ability to define good metrics and then deliver solutions that improve them
• Deep technical range, with fluency across Garner's data and a habit of staying current with advances in the field
• 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 senior and external stakeholders, and to secure buy-in for cross-team work

Qualifications

• A desire to be a part of a high-performing, mission-driven team that operates with urgency, a strong sense of individual accountability, and a commitment to authentic feedback

Skills

• Python
• SQL
• AWS
• Snowflake
• pandas
• XGBoost
• PyTorch
• HuggingFace
• modern LLM tooling and eval frameworks

Benefits

Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k) with company match, flexible spending accounts, Teladoc Health and more.

Pay

The target base comp range for this position is $236,000 – $260,000.

Schedule

N/A