# Data Scientist & Analytics Engineer at Ledger

Ledger is hiring a Data Scientist & Analytics Engineer in Paris, France. Level rates it Uses AI ●●○○; you can [apply on Ledger](https://jobsbylevel.com/go/b8624db5-42a1-4f81-8bec-561594dec506?utm_medium=ai-agent).

AI Level 2, AI centrality 45 out of 100. Remote (Paris, France).

## Details

- Company: [Ledger](https://jobsbylevel.com/companies/ledger)
- AI level: AI Level 2 (score 45 out of 100)
- Location: Remote (Paris, France)
- Posted: September 28, 2026
- Apply: https://jobsbylevel.com/go/b8624db5-42a1-4f81-8bec-561594dec506?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=data-scientist-analytics-engineer-at-ledger-35826c

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## Description

We’re a team of experts pushing the limits of what’s possible, united by our common goal to unlock true freedom through digital ownership, making technology accessible for all. We believe in a world where users, creators and enterprises manage their value with ownership and freedom. Our curiosity drives us to innovate, empowering individuals on a global scale. We believe change is constant and our team moves forward as one, with a culture of problem-solving where every employee is empowered and supported to challenge tradition and create solutions. Our mission is simple: to make self-custody accessible and give people the keys to their own financial futures. If you want to make a true impact, we want you to join us at Ledger. At Ledger, we’re proud to be the global platform for digital assets and Web3, with over 20% of the world’s crypto assets secured through our Ledger devices. With our headquarters in Paris, and offices in Vierzon, Grenoble, Montpellier, London, Portland, Geneva, Zurich and Central Singapore, we have a team of around 600 professionals developing a variety of products and services to enable individuals and companies to securely buy, store, swap, grow and manage crypto assets – including the Ledger hardware wallets line with more than 7.5 millions units already sold in 200 countries. The team: You'll join the Data Team, responsible for turning data into actionable insights and recommendations for our consumer sales and marketing operations across all channels. What you’ll be doing: Own consumer sales analytics end to end: Ledger.com , Amazon, wholesale and resellers, from sell-in to sell-out, with one consistent view of revenue, units and margin Measure the true incremental impact of pricing, promotions and marketing campaigns with rigorous causal methods and experiments, and turn the results into budget recommendations for the Growth team Develop and improve data models (dbt/Snowflake) across varied data sources (sales, sell-out, marketing, web analytics) with the support of the data engineering team; co-own data quality alerting Own performance marketing measurement (attribution, ROAS, CAC), reconciling ad platforms, GA4 and internal sales data into a single source of truth Build and maintain Tableau dashboards that give business teams a clear, reliable view of their performance Model customer value (LTV, repurchase behavior, services attach) and feed it back into marketing ROI decisions Work as part of an AI-augmented team: use LLM-based workflows and AI agents daily to automate analyses and accelerate delivery Create and deliver presentations that turn complex analyses into clear recommendations for stakeholders up to ExCom level What we’re looking for: Proven hands-on data science experience applied to business decisions: you have run causal inference studies (CausalImpact, difference-in-differences, synthetic control, geo-experiments) and/or built predictive models (LTV, repurchase, propensity) whose results changed a budget or pricing decision Strong statistical rigor: comfortable with experiment design, confidence intervals and power, and able to clearly say when a result shows no detectable effect 2 to 4 years of experience in data analytics, analytics engineering or data science Strong SQL dbt skills are a plus Tableau skills are a strong plus Data driven and business oriented; able to challenge stakeholders' methodology Familiarity with marketing/web analytics data: GA4, ad platforms (Google Ads, Amazon Ads), affiliation networks are a strong plus At Ledger, we are dedicated to continually investing in our employees which is why we offer more than just salaries; we provide comprehensive compensation packages that include a wide range of benefits. Here are some of the benefits you can look forward to: Flexible work options - Our hybrid policy allows employees to work from home up to 3 times per week Health & Wellness support - Health and Life Insurance. Financial growth opportunities - Employees

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Source: https://jobsbylevel.com/jobs/data-scientist-analytics-engineer-at-ledger-35826c

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