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Applied Science Manager
Clipboard Health. Build and lead Clipboard's Applied Science function, owning the roadmap and vision for science across the marketplace .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building and leading Applied Science functions, with a strong focus on quantitative modeling, experimental design, and team development. Proficient in communicating insights and metrics to cross-functional teams to drive marketplace performance.
Highest-signal resume keywords
Quantitative Model DevelopmentExperimental DesignTeam LeadershipSQL ProficiencyCausal Inference
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Quantitative ModelingData AnalysisCausal ModelsMetric DefinitionsPricing AlgorithmsAuction MechanismsExperiment FrameworksControlled ExperimentsMarketplace Performance ReportingPrediction Models
Soft Skills
MentoringCommunicationPrioritizationCollaboration
Tools & Technologies
SQL
Industry Keywords
Applied ScienceQuantitative FinanceEconomic ConsultingMarketplacesData-Intensive Environment
Tech Stack
Tools & technologiesSQL
About the role
Key responsibilities & impact- Build and lead Clipboard's Applied Science function, owning the roadmap and vision for science across the marketplace
- Lead a small team of Applied Scientists and grow the function
- Own quantitative infrastructure including pricing algorithms, auction mechanisms, causal models, metric definitions, and experiment frameworks
- Define key metrics, measurement approaches, and marketplace performance reporting
- Provide models, experiments, and insights used by product and engineering teams
- Prioritize work across engineering, product, finance, and operations
- Balance production work with analytical work and determine appropriate causal or directional analysis
- Hire and develop the Applied Science team
- Mentor Applied Scientists across levels while contributing to important individual-contributor problems
- Work with engineers to move models from prototype to production
- Communicate reasoning to product managers, operators, and leadership
Requirements
What you’ll need- Bachelor’s degree in economics, statistics, engineering, mathematics, or another quantitative field, or equivalent practical experience
- Experience building and deploying quantitative models in applied or research settings
- Fluency querying data directly with SQL or an equivalent tool
- Experience designing and analyzing controlled experiments
- 1-3 years of experience managing or leading a team
- PhD/Masters in economics, operations research, statistics, engineering, or a related field, or equivalent quantitative depth from research or trading
- Track record of taking prediction models from idea to production
- Strong grounding in experimental design and causal inference
- Experience in quantitative finance, economic consulting, marketplaces, or another data-intensive environment where decisions have real business consequences
- Must perform services in a country where authorized to work
Benefits
Comp & perks- $120 – $250 Equity
- Remote work
- Profitable company since 2022