Senior Data Scientist, Product Growth at Temporal

Confirmed open

Temporal seeks a US-remote data scientist to analyze onboarding, adoption and product-led growth using experimentation, causal reasoning, SQL and Python.

Temporal

Search jobs by company: Temporal

Location: Remote
Advertised region: United States (Remote)
Employment: FULL_TIME
Work arrangement: remote
Technologies: Python, AWS, SQL

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Role overview

The Product Growth and Experimentation role works with Product and Engineering to understand the user journey from initial interest to sustained adoption. The posting states United States remote.

Responsibilities

Identify onboarding friction and adoption patterns, evaluate interventions and communicate recommendations to product and growth partners.
Use statistical methods suited to small or imperfect datasets, including matched comparisons and quasi-experiments, and turn repeatable analysis into models or workflows.

Qualifications

Strong statistics, experimental design and causal reasoning, with SQL and Python for analysis and automation.
Experience with funnels, cohorts, segmentation and machine learning; modern query platforms, cloud storage, dashboards and clear communication across product and business teams.

Technology in this role

Python: Strong statistics, experimental design and causal reasoning, with SQL and Python for analysis and automation.

How to apply

Review the original posting and apply through the employer’s careers page.

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Source checked: 2026-11-08

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