Applied Science Manager
Clipboard · Remote · U.S. (Remote) ·
COMPENSATION
$180k – $300k
Listed on the employer's job board (Ashby)
- Fully remote
- Managerial role
- Marketplace focus
- Causal inference
- SQL required
As the Applied Science Manager, you will build and lead the function responsible for the quantitative backbone of Clipboard's healthcare marketplace. You will define the vision for science across the platform, managing a small team of Applied Scientists who develop pricing algorithms, auction mechanisms, and experiment frameworks.
This player-coach role requires balancing strategic leadership with hands-on technical contribution. You will prioritize high-impact problems at the intersection of engineering, product, and operations, ensuring that models move from prototype to production while mentoring your team.
What you'll do
- Build and lead the Applied Science function, owning the roadmap and vision
- Mentor Applied Scientists while solving important individual contributor problems
- Define key metrics and reporting standards for marketplace performance
- Prioritize work between production modeling and analytical support for other teams
- Hire and develop talent to grow the applied science team
- Collaborate with engineers to deploy models from prototype to production
- Communicate complex reasoning clearly to product, operations, and leadership
What you'll need
- Bachelor’s degree in economics, statistics, engineering, math, or equivalent experience
- Experience building and deploying quantitative models in applied or research settings
- Fluency in querying data directly using SQL or equivalent tools
- Proven experience designing and analyzing controlled experiments
- One to three years of experience managing or leading a team
Nice to have
- PhD or Masters in economics, operations research, statistics, or engineering
- Track record of taking prediction models from idea to production
- Strong grounding in experimental design and causal inference
- Background in quantitative finance, economic consulting, or marketplaces
Stack
- SQL
- Causal inference
- Machine learning
- Auction mechanism design
- Time series analysis
- Discrete-time hazard models
How you'll work
- Fully remote team
- Remote-first culture