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Data Scientist · 0 years

You qualify for 20 Data Scientist roles

Out of 351 open right now. Every must-have was checked against what you entered. 13 more are one must-have away.

Meets 0 of 1 must-haves$95k–$135kRemote · New York, NY

?Demonstrated ability in a similar Data Science role. Degree in data science, computer science, statistics, economics, mathematics, or a similar quantitative field. You have experience with product analytics, including crafting success metri

Stretch: one must-have short$114k–$235kMidRemote · San Francisco, CA, US

Strong SQL and analytical programming skills, with experience working through messy, imperfect data and building reliable metrics and datasets.Mentions SQL, which isn't in your skills
Masters degree in a relevant field such as Statistics, Applied Math, Biostatistics, or equivalent experience.Equivalent experience is accepted
?Experience partnering on or contributing to production-ready data pipelines, measurement systems, or foundational data work that improves data quality and usability.
?Solid foundation in experimentation and measurement, with the ability to design analyses, interpret results rigorously, and partner effectively with engineers and other cross-functional stakeholders.
+4 more on the role page

Meets 0 of 3 must-havesSeniorRemote - USA, CAN, MEX

?You are an applied data scientist who enjoys working on ambiguous, high-value product problems. You can translate a customer or business decision into a measurable modeling problem, establish a credible baseline, and iteratively improve it.
?You care deeply about correctness, explainability, and trust. You are comfortable communicating confidence intervals, limitations, and data gaps to technical and non-technical partners. You collaborate well with software and data engineers,
?You are pragmatic, product-minded, and outcome-oriented. You would rather ship a useful, well-calibrated forecast than an impressive model that does not change a customer decision.