Applied Scientist

GlobalHybrid

sql$160,000

Requirements

REQUIREMENTS - Bachelor’s degree in quantitative field: economics, statistics, engineering, mathematics, etc or commensurate practical experience. -
Experience building and deploying quantitative models (in applied or research settings) - Comfort querying data directly (SQL or equivalent) -
Experience designing and analyzing controlled experiments WHO THRIVES HERE - PhD in economics, econometrics, operations research, statistics, engineering, or a closely related field.

We do this through our app-based marketplace that connects healthcare professionals with the workplaces that need amazing workers.
This enables hundreds of thousands of people to achieve financial stability for themselves and their families while providing essential care to millions of people across the U.S.
We’re the leader in Long-Term Care staffing and are rapidly expanding into Home Health, Hospitals, and more, meaning we have more work to do than people to do it, and are growing our team to support millions more people and their communities.
COMPENSATION $160K-$225K base + $50K-$150K equity.

Founded in 2016, we are a remote-first team of over 1,000 people building a top YC company https://www.ycombinator.com/topcompanies/ and have been profitable since 2022.
Clipboard https://www.clipboardhealth.com/ is a Sequoia-backed marketplace connecting nurses and healthcare professionals with long-term care facilities, with over $800M in annual transactions.
Report any scammers impersonating the Clipboard hiring team members here https://forms.gle/SyGaxHFbon7Hg9fW6.

ABOUT CLIPBOARD Our mission is to uplift as many communities as possible.
ABOUT THE ROLE We're building a new team, Applied Science, and we're looking for our first outside hire.
You'd be joining a three-person quantitative pod with a dedicated engineering rotation that has spent the last year shipping auction systems in a live, two-sided market.
We're now formalizing that work into a dedicated Applied Science function.
The team owns the quantitative infrastructure underneath the marketplace: pricing algorithms, auction mechanisms, causal models, metric definitions, and experiment frameworks.
Some of that work ships as product; some becomes the analytical substrate every team in the company depends on.
ABOUT THE WORK You'll be designing systems where the analytical choices are the product decisions.
Concretely, you’ll be building pricing algorithms, designing auction mechanisms that shape how supply and demand interact, developing attendance and reliability models that determine worker↔workplace relationships, and constructing the experiment frameworks the rest of the org runs its ideas through.
When a key metric moves and the cause isn't obvious, you'll run the investigation.
Methods in play include causal identification (diff-in-diff, IV, regression discontinuity), cluster-randomized trial design, discrete-time hazard modeling, mechanism design, and anomaly detection on marketplace time series.