10 дней назад
Applied Science Manager (Machine Learning)
180 000 - 300 000$
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Applied Science Manager (Machine Learning): Building and leading the applied science function for a healthcare staffing marketplace, including pricing algorithms, auction mechanisms, causal models, metric definitions, and experiment frameworks with an accent on quantitative modeling and marketplace performance. Focus on prioritizing high-impact research and production work, developing scientists, and taking models from prototype to production.
Location: U.S. (Remote)
Salary: $180,000–$300,000 base annually, with total compensation of $300,000–$550,000 including equity.
Company
operates an app-based healthcare staffing marketplace connecting healthcare professionals with workplaces across the United States.
What you will do
- Build and lead the Applied Science function, including its roadmap, vision, and quantitative infrastructure.
- Manage and grow a team of Applied Scientists in a player-coach role.
- Develop pricing algorithms, auction mechanisms, causal models, metric definitions, and experimentation frameworks.
- Set standards for marketplace measurement and communicate insights to product, engineering, finance, operations, and leadership.
- Prioritize research, analysis, and production work based on expected business impact.
- Partner with engineers to move models from prototype to production.
Requirements
- 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 with SQL or an equivalent tool.
- Experience designing and analyzing controlled experiments.
- 1–3 years of experience managing or leading a team.
Nice to have
- Master’s or PhD in economics, operations research, statistics, engineering, or a related field.
- Experience taking prediction models from concept to production.
- Strong grounding in experimental design and causal inference.
- Experience in quantitative finance, economic consulting, marketplaces, or another data-intensive environment.
Culture & Benefits
- Remote-first environment with a distributed team of more than 1,000 people.
- Work on products supporting healthcare professionals and workplaces across the U.S.
- Compensation includes base salary and equity.
- The company has been profitable since 2022.
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