Founding Data Scientist

BitstackFrance, Metropolitan+ Equity4d ago

In Office Senior EMEA Nonprofit Data Scientist SQL Python hypothesis Data Quality Metabase

Upload My Resume

Drop here or click to browse · PDF, DOCX, TXT

Apply in One Click

Requirements

Strong quantitative foundation in Statistics, Economics, Math, CS, Physics, or equivalent practical experience.
Strong quantitative foundation
Expert SQL and comfort working directly with production-grade datasets.
Expert SQL
Strong Python (or R) for analysis, modeling, and automation.
Strong Python
Experience with experimentation, hypothesis testing, and causal thinking (A/B testing, quasi-experiments when A/B is not feasible).
experimentation
Experience with analytical methods such as:
Funnel analysis and product measurement
Cohort retention, segmentation, and lifecycle analysis
Time-series analysis and forecasting
Regression / classification, model evaluation, and pragmatic deployment patterns
Proven ability to take ambiguous problems and solve them in a structured, hypothesis-driven way.
ambiguous problems
Strong stakeholder communication: you can turn messy analysis into clear recommendations and trade-offs.
Analytical DB / warehouse experience (BigQuery strongly valued, or similar).
BI tools (Metabase, Looker, Tableau).
Analytics engineering tooling (dbt).
Product analytics tools (Amplitude, Mixpanel, PostHog).
Data quality / observability practices (tests, monitoring, lineage/docs).
What makes this role different
You will build the foundations, not inherit them.
build the foundations
You will be judged on impact and leverage, not ticket throughput.
impact and leverage
You’ll operate across analytics engineering, measurement, experimentation, and modeling, choosing the right level of sophistication for the problem instead of over-engineering.
analytics engineering
measurement
experimentation
modeling

Responsibilities

Use quantitative analysis to understand what drives Bitstack’s business and product performance.
Build full-cycle analytics work: datasets, dashboards, and executive-ready narratives.
Create repeatable analytical frameworks (cohorts, segmentation, measurement plans) rather than one-off answers.
Partner with Engineering to implement, validate, and monitor event logging and data quality.
Work cross-functionally with Product, Engineering, Compliance/Risk, Ops, Support, and Finance to scope ambiguous problems and turn them into data-backed decisions.
Proactively identify levers to move key metrics, size opportunities, and recommend actions.

Benefits

🌎 Work from our office in Paris (Bourse) or Remote
🕑 Flexible working hours
👩‍⚕️ One of the best health insurance plans with 100% employer contributions
🏄 Monthly team activities and bi-annual offsites
🍉 Swile meal vouchers
🤑 Competitive salary based on experience & Bitstack stock options
Diversity & Inclusion
We hire talented and passionate people from all kinds of backgrounds, we don’t care about your age or where you studied. If you’re excited about the role but your past experience doesn’t match every bullet point in the job description, we still encourage you to apply. What matters most is that you’re a builder at heart, you share our values, and you’re enthusiastic about our mission.#LI-TT1