Senior Data Scientist, Matching
Responsibilities
Collaborate with a cross-functional team of product managers, researchers, designers and engineers to develop and iterate on product features and strategy
Translate product objectives to data science problems and vice versa
Apply statistical inference to draw rigorous conclusions from data, especially through designing and analyzing A/B tests and working on strategic insights that drive product strategy
Use a combination of exploratory analysis and data mining techniques to generate actionable insights about user experience and user problems
Collaborate with AI team to develop, iterate, and test production models (e.g., targeting)
What We're Looking For
5+ years of experience as data scientist
Experience with A/B testing
Strong working knowledge of SQL and Python (R is acceptable but we use Python at Hinge)
Strong knowledge of statistics and machine learning
Superb communication skills
Ability to balance rigor with practicality
Deep sense of intellectual curiosity
Excellent collaboration skills and a track record of cross-functional influence
Data & ML pay context
Based on 1,296 disclosed Data & ML salaries on RoleSuite, the role pays a median of $165K/year, with most offers between $128K and $209K (10th–90th percentile: $108K–$246K).
This posting lists $186K–$223K, above the $165K market median.
See the full Data & ML salary breakdown →