Decision Scientist (Causal Analytics) for Growth

Bsport; Paris; Hybrid; EUR 90,000 - 130,000; Full time

Benefits offered by this job

Hybrid work model

Remote work up to 15 days abroad

HelloCSE membership discount

Team events

Job summary

bsport, the all-in-one platform for boutique fitness, is hiring its first Decision Scientist. You will build analytic datasets on top of certified models and own causal measurement, telling product and leadership what changes truly move the needle for studios.

Collaborating with product and engineering, you will design experiments, measure retention, revenue and activation, translate findings into actionable guardrails, and raise statistical literacy across the company.

Qualifications

• 4+ years in decision science, product data analytics or a similar role.
• Hands-on experience with causal inference in a business setting (A/B tests, geo experiments, difference-in-differences, regression analysis…).
• Write production-grade SQL and have solid data modeling experience.
• Fluent in Python for statistical analysis.
• Have delivered analyses that changed real decisions, and pick the simplest method that is good enough.
• Can explain uncertainty in plain language, and turn a confidence interval into a recommendation a PM or CPO can act on.
• Enjoy autonomy and ownership.

Responsibilities

• Size opportunities before they are built: estimate the potential impact of roadmap bets so product can prioritize on evidence, not intuition.
• Make launches measurable by design, by partnering with product and engineering: progressive rollouts, tracking of who got what and when, success metrics agreed upfront.
• Own your analyses from plan to execution, including the data they rely on: eligibility, exposure and outcomes tables.
• Measure the real impact of product features on studio retention, revenue and activation, choosing the right method for each situation: experiments when we can randomise, observational methods when we cannot.
• Investigate when key metrics move unexpectedly: separate signal from noise, find root causes, and recommend what to do.
• Translate analytical findings into actionable recommendations, decision tools and guardrails.
• Raise statistical literacy across the company, and say clearly when the data cannot answer a question.

Skills

Decision science

Causal inference

SQL

Python

Impactful analysis

Uncertainty communication

Autonomy

Tools

Databricks

dbt

Airflow

Metabase

Sigma

Databricks Genie

Job description

bsport, the all-in-one platform for boutique fitness, is hiring its first Decision Scientist. You will build analytic datasets on top of certified models and own causal measurement, telling product and leadership what changes truly move the needle for studios.

Collaborating with product and engineering, you will design experiments, measure retention, revenue and activation, translate findings into actionable guardrails, and raise statistical literacy across the company.