Senior Data Scientist

Our job everyday is to protect the data and critical assets of businesses world-wide by discovering hidden vulnerabilities… before the bad guys do!

At CybelAngel, we see beyond perimeters to protect businesses from the most critical cybersecurity threats. Fortune 500 Global to mid-size companies world-wide trust CybelAngel’s global team of approximately 130 team members to protect their businesses from digital threats. With a combination of advanced machine learning, cyber analysis expertise, and a powerful suite of software solutions, CybelAngel detects and resolves our clients’ potential threats, long before they can fall into the hands of cyber criminals.

Our capabilities expand every day to uncover new risks, detect more threats, protect more clients, and create new possibilities for our employees.

With employees based in France and in the US, CybelAngel’s global footprint allows for a thriving hybrid, office and remote-work environment. We are looking for exceptional “go-getters” who share our ambitious vision, our innovative culture, especially our GenAI DNA, a high commitment to ethics, and enthusiasm for being the best possible place to work!

The goal of the Data Science team is to build Artificial Intelligence models to improve our product.

Context

We process billions of documents every day to detect data leaks affecting our customers.

Introducing intelligence at the various levels of our processing pipeline is therefore a crucial issue for CybelAngel. Our Data Science team's mission is to make our AI algorithms as intelligent as possible, in order to optimize and facilitate the processing of security incidents.

We're looking for our future Senior Data Scientist.

Your responsibilities

Your mission will be to drive projects end-to-end with a high level of autonomy, and to raise the technical bar of the whole Data Science team: from framing the problem and state of the art, to production release, monitoring, and iteration.

This includes:

• Work hand-in-hand with our cybersecurity analysts and product managers to define, challenge and maintain model performance objectives;

• Collect data, explore, read the state of the art, document, benchmark, develop and deploy, owning the full lifecycle of your projects;

• Design, plan and prioritize ongoing projects, arbitrating trade-offs between impact, effort and technical debt;

• Mentor and support junior and mid-level Data Scientists through pairing, code reviews and technical guidance;

• Drive technology watch, evaluate new techniques and methods, and proactively shape the team's technical roadmap;

• Contribute to defining best practices, tooling and architecture decisions for the Data Science team.

Data Science Team

Our Product & Engineering organization : 50 passionate people across 3 departments: Software Engineering, Data Intelligence and Operations.

The position is in the Data Science team, within the Data Intelligence department, which is split into two teams: Data Insights (data engineering and data analysis) and Data Science (machine learning, AI and R&D).

The Data Science team's current stack:

• Language: Python, SQL

• Databases: BigQuery, Bigtable, Spanner

• Libraries: Polars, scikit-learn, XGBoost, Altair, Streamlit, PyTorch, Hugging Face

• MLOps: GitLab CI, Docker, Kubernetes, Terraform, MLflow, ZenML, Label Studio, Gemini Agent Platform/Vertex AI

• Experimentation environment: Jupyter

• Other: GCP, Datadog, Pub/Sub, Temporal

Requirements

Must-have:

• Curious, passionate, with great team spirit

• Eagerness to keep learning, and a proven ability to share knowledge and mentor others

• Senior work experience in building and owning end-to-end ML system(s), from collecting the product need to deployment and monitoring in production

• Demonstrated experience leading technical projects with autonomy, including making and defending technical trade-offs

• Creative spirit who likes to solve data science problems by discussing ideas with others, and comfortable challenging or being challenged on technical choices

• Strong project and stakeholder management skills, with a solid understanding of business needs and rigor

• Hands-on experience with agentic AI, actively contributing to the continuous improvement of team-wide AI-assisted workflows

Nice-to-have:

• Experience with imbalanced data, large volumes, and production-grade ML systems

If you do not meet all the requirements but you think you are a great fit, you are welcome to apply and explain why!

Benefits

Our Product & Engineering Culture

🗃️ Small teams & short iterations

🤝 Culture of sharing, pair and mob programming, when it makes sense

👩‍🎨 Quality time dedicated to technical design

🎒 Voyager Program to change team temporarily and discover how they work #becurious

✌️ Cooldown week dedicated to learning and experimenting

📍Paris or full remote from everywhere in France (one trip to Paris per quarter)

Our Benefits

💰 Salary range: 60-70k, based on your level of experience and the competencies you'll demonstrate during the hiring process

🏦 5% bonus, based on company and individual performance

🍱 Lunch card with company contribution

👩‍⚕️ Healthcare insurance with company contribution

🖥️ Remote allowance

🏋️ Monthly credits with CSE partner

🏝️ 5 weeks of holidays and RTT

🏅 Subsidy for one sporting event per year

⚖️ Legal Care Service

Your hiring journey with us

1. 30' call with Pierre Guaine, Recruiter, to discuss expectations on both sides

2. 30' call with Pierre Godard, Lead AI Engineer, to discuss experience, projects and to evaluate mission fit

3. 60' meeting with the whole team to present a technical test (Kaggle-style) prepared at home => a chance to present your methodology and added value

4. 30' call with Fabien, Head of Data Intelligence, to discuss context and projects