Senior Datascientist

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Senior Datascientist @ Oplit

At OSS Ventures we're looking for a Senior Datascientist to join our team at Oplit.

Full-time · Paris

TL;DR

  • Position also known as (or close to): Senior Data Scientist / Machine Learning Engineer (AI Engineer)

  • Location(s): Paris (partial remote possible)

  • Salary range: Competitive + equity depending on profile

  • Type of Contract: Full-time (Permanent)

  • Direct reporting line: CTO (Soufiane)

  • Start date: ASAP

Companies Introduction

Our Ambition
Help industrial sites optimize their production in real time with AI.

Our Mission
Revolutionize industrial operations by embedding advanced forecasting and optimization algorithms directly into the daily workflow of factories.

Our Story
Founded in 2021 by Thibaut (ex-McKinsey, ex-VC) and Soufiane (ex-CTO of 3 startups). Already trusted by Hermès, Cartier, LISI Aerospace, Saint-Gobain, Ramondin. Raised €2M in 2024. Selected by Challenges among the top 100 startups to invest in.

Our Values

  • Product excellence and high standards

  • Tangible and measurable impact

  • Autonomy and pragmatism

  • Open and supportive collaboration

Why we need you

What you will do
You will play a key role in the design, industrialization, and evolution of our AI models, which are directly used by industrial clients.

In a nutshell
Design, deploy, and secure predictive and optimization models that power real-time industrial production.

Broadly speaking

  • Develop and industrialize robust predictive models (lead-time forecasts, real-time adjustments).

  • Design and improve optimization algorithms for complex scheduling.

  • Define and maintain a full data pipeline (collection, processing, enrichment, storage).

  • Translate business needs into concrete, deployable data solutions.

  • Implement best practices (testing, monitoring, CI/CD datContribute to Oplit’s data vision and propose new methodologies and technologies.

On a day to day basis
You’ll work closely with the CTO and product/tech teams, while also interacting directly with our industrial clients.

Who you’ll be working with

  • Soufiane (CTO): your direct manager.

  • 1 Optimization Engineer, 1 Product & 1 Dev

  • Industrial clients (Teknor, Cartier, Saint-Gobain, etc.).

What’s next in your career path?

Opportunities to evolve into:

  • Lead Data Scientist (ownership of the team and data roadmap).

  • Recognized expert in AI applied to manufacturing.

  • Key contributor to Oplit’s product strategy and international expansion.

Your profile to make this a success

Mandatory required skills

  1. 4+ years of experience in data science, including ≥2 years in deploying large-scale production models.

  2. Strong skills in Reinforcement Learning

  3. Strong skills in Python

  4. Experience with cloud environments (GCP preferred) and model deployment in production.

This will be important in your job, we’ll teach what you currently miss

  • In-depth knowledge of industrial and supply chain environments.

  • Advanced CI/CD data practices and production monitoring.

We kindly advise you to think twice before applying if…

  • You’re not flexible about being based in Paris (with partial remote).

  • You don’t have an entrepreneurial mindset.

  • You’re not looking for a positively challenging environment.

  • You’re not fully comfortable working in both French and English.

Overall Expected Behaviors

  • Product and user orientation.

  • Ability to simplify and explain complex concepts.

  • Autonomy, pragmatism, and team spirit.

What success looks like

  • Data models deployed and actively used by client factories.

  • Direct contribution to clients’ operational performance.

  • A structured and scalable data roadmap.

Career path

Progression toward Lead Data Scientist / Head of Data as the team grows.

Working conditions

  • Full-time permanent contract, competitive salary + equity.

  • Partial remote possible.

Strong autonomy and room for initiative.

Process interview

  1. Intro call (30 min): with the CTO (Soufiane).

  2. Technical case study (2h): modeling and discussion of a real-world problem.

  3. Culture & fit interview (1h): with Thibaut (CEO).

  4. Final step (1h): team interview with tech and product members.

Final words to our candidates

  • WHF or in-office? Paris + 1 or 2 days remote

  • Work & Life Balance: fast-paced but flexible, based on trust.

  • We welcome ALL candidates: diversity and inclusion are at the core of our hiring process.