Senior Data Scientist, Recommendations - Shape Matches

Matchgroup; New York (NY); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

401(k) Matching

Learning stipend and Udemy access

Parental leave (paid)

Fertility support stipend

Date stipend of $100/month

ERGs

Job summary

Hinge is seeking a versatile Data Scientist to join the Recommendations team, working at the heart of the algorithms that shape who millions of people see, every day.

You’ll partner with Product Managers, ML Engineers, Data Scientists, Engineering, and User Research to evaluate and improve models using rigorous experimentation and causal analysis, guiding strategic decisions and shaping what is shown to users.

Qualifications

• 5+ years of experience as data scientist, ideally at a consumer-facing company.
• Experience designing and analyzing experiments.
• Strong working knowledge of SQL and Python (R acceptable but Python used).
• Strong knowledge of statistics and ML concepts; curiosity to learn.

Responsibilities

• Collaborate with Product Managers, ML engineers, Data Scientists, Engineering, and User Research to develop features and strategy.
• Translate product objectives to data science problems and vice versa.
• Apply statistical inference and design/analyze A/B tests to inform product strategy.
• Explore user behavior to surface actionable insights for product teams.
• Collaborate with ML engineers to evaluate, improve, and monitor production models.

Skills

SQL

Python

Statistics

Experiment design

Cross-functional collaboration

Communication

Job description

Hinge is seeking a versatile Data Scientist to join the Recommendations team, working at the heart of the algorithms that shape who millions of people see, every day.

You’ll partner with Product Managers, ML Engineers, Data Scientists, Engineering, and User Research to evaluate and improve models using rigorous experimentation and causal analysis, guiding strategic decisions and shaping what is shown to users.