Who we are

Lemrock builds the infrastructure of agentic commerce.

Tomorrow, consumers won't just buy on e-commerce websites. They will discover, compare and purchase directly inside conversational AI interfaces like ChatGPT, Perplexity, and a growing long tail of specialized AI assistants.

For brands, this is a major shift: if they are not present in these environments, they become invisible.

Our mission: enable any brand to exist, sell and distribute in this new channel.

We raised a €7M seed round (the first in Europe on this market), with Jean-Baptiste Rudelle, founder of Criteo, on our board, and the Bpifrance DeepTech label.

Today, Lemrock is already:

100M+ conversations per month
150+ brand clients
a $100B market structuring at high speed

The role

We are accelerating. The product works, clients renew, the market is taking shape. Every day, shoppers talk to AI agents before they buy, and conversion has been at the heart of how we build the product from day one. We now want to go further and faster, with someone fully dedicated to understanding what turns a conversation into a purchase, and to proving it with data.

As our freelance Data Scientist, full-time, you will dig into everything we have and tell us what drives conversion, what to change in the product next, and how to prove it. You will build on the work already done, challenge it, and find the levers we have not seen yet. You will work directly with the founders and the product and engineering teams.

Understand what drives conversion

Explore every data source we have: natural-language conversations, behavioural events, conversion tracking, product and advertiser metadata
Turn raw conversations into usable signals (intents, categories, features) that you define and build
Link what our agents say (answers, recommendations, tone) to what users do next, and turn it into concrete improvements for the agent team
Find the next levers that move purchases, and size the impact of each one

Experiment

Turn your findings into prioritised hypotheses the product team can act on
Design the A/B tests that validate them, then read the results
The engineering team implements the variants: you do not write production code

Strengthen what we measure

Spot the remaining blind spots in what we measure and specify the events and properties we are missing, for the engineering team to implement

Must-have

4+ years of hands-on data science or analytics, with analyses that changed a product or business decision.
Advanced SQL and Python for data
Strong statistics and experimentation: A/B test design, causal reasoning, and the judgment to separate real effects from noise, selection bias and measurement artifacts, and to know when the data is too thin to conclude
Autonomous: you find the right questions in an open problem
AI-forward: you use AI tools (Claude, Cursor, agents) daily
Fluent French and professional English
Available now, full-time

A plus

NLP on real text data: classification, clustering, LLM-based labelling
E-commerce or retail experience
Conversion, CRO or funnel analytics
BigQuery, PostHog
Adtech or performance-marketing measurement (attribution, ROAS)
Familiarity with ranking, recommendations or search relevance
Startup experience

No school requirement.

The mission

Freelance, full-time, starting ASAP
1 month minimum, around 3 months expected
For the right person, the mission can turn into a permanent role
Our data stack: BigQuery, PostHog, Python

Why join us

Join a company in early breakout mode, already generating revenue, with a clear technological edge and strong financial backing to fuel its growth
Work directly with an experienced team: two repeat YC founders who've scaled product & tech before, a former strategy/innovation director (10 years in the sector), and ex-strategy consultants (McKinsey QuantumBlack, BCG)
Be part of the next structural shift of the web: agentic interfaces
Own mission-critical topics, grow fast, and shape the company's future trajectory

Daily rate discussed during the process.

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