About this role
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 our AI agents before they buy, and we collect a lot of data along the way. We now want to understand, precisely, what turns a conversation into a purchase.
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, and how to prove it. The engineering team ships; you point the way.
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
- Find the levers that actually move purchases, and size each one: how much of the gap it explains, what it is worth fixing
Experiment
- Turn your findings into prioritised hypotheses the product team can act on
- Design the A/B tests that validate them (hypothesis, metric, sample size, duration), then read the results without fooling yourself or us
- The engineering team implements the variants: you do not write production code
Close the tracking gaps
- Spot the blind spots in what we measure and specify the events and properties we are missing, for the engineering team to implement
Answers, not dashboards
- Short, written recommendations that change what we build next
Profile
Must-have
- 4+ years of hands-on data science or analytics, with analyses that changed a product or business decision. Models that never left a notebook do not count.
- Advanced SQL and Python for data (pandas or polars, notebooks, statistics)
- Strong statistics and experimentation: A/B test design, causal reasoning, and the judgment to know when the data is too thin to conclude
- Autonomous: you find the right questions in an open problem, you do not wait for them to be handed to you
- AI-forward: you use AI tools (Claude, Cursor, agents) in your daily workflow and already go faster thanks to them
- Fluent French: you will read our conversations in French
- 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
- Startup experience
No school requirement: what matters is what you can do with data.
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.