Decision Scientist — Causal Analytics for Product Impact

bsport; Paris; Hybrid; EUR 70,000 - 120,000; Full time

Benefits offered by this job

Hybrid model

Up to 15 days remote

HelloCSE membership discount

Diverse team events

Job summary

bsport is hiring its first Decision Scientist to own causal measurement and analytically drive product decisions for studios. You will build datasets on certified models, measure impact, and guide leadership on what to do next.

You will partner with product and engineering to design experiments, track outcomes, and translate insights into actionable recommendations while shaping the analytics tooling and guardrails across bsport.

Qualifications

• 4+ years in decision science, product data analytics or similar.
• Hands-on experience with causal inference in a business setting (A/B tests, geo experiments, DiD, regression).
• Write production-grade SQL and have solid data modeling experience.
• Fluent in Python for statistical analysis.
• Delivered analyses that changed real decisions, and pick the simplest method that is good enough.
• Able to explain uncertainty in plain language and turn confidence intervals into actionable recommendations.

Responsibilities

• Size opportunities before they are built and estimate potential impact.
• Make launches measurable by design with product/engineering collaboration.
• Own analyses from plan to execution, including data they rely on (eligibility, exposure, outcomes).
• Measure impact of product features on retention, revenue and activation using appropriate methods.
• Investigate unexpected metric moves, identify root causes and recommend actions.
• Translate findings into actionable recommendations, decision tools and guardrails.
• Raise statistical literacy across the company and say when data cannot answer a question.

Skills

Decision science

Causal inference

SQL

Python

Data modeling

Explain uncertainty

Autonomy

Tools

Databricks

dbt Core

Apache Airflow

Metabase

Sigma

Databricks Genie

Job description

bsport is hiring its first Decision Scientist to own causal measurement and analytically drive product decisions for studios. You will build datasets on certified models, measure impact, and guide leadership on what to do next.

You will partner with product and engineering to design experiments, track outcomes, and translate insights into actionable recommendations while shaping the analytics tooling and guardrails across bsport.