Data Scientist Engineer

Sekoia; Paris; Hybride; EUR 90 000 - 130 000; Plein temps

Avantages offerts par ce poste

Remote-friendly hybrid work

Health insurance

Swile meal vouchers

Offices in central Paris and Rennes

Résumé du poste

Sekoia is building a data-driven platform in Paris/Rennes with up to 3 remote days. The role blends data engineering, data science, and MLOps to scale real-time analytics and algorithms for security applications.

Ideal candidates combine 3–5 years of data science and software development, strong Python/sql skills, and an appetite for algorithmic solutions that perform in production environments. English fluency is required.

Qualifications

• MSc or PhD in CS or related field with 3–5 years combining data science and software development or a data engineering background with algorithms mindset.
• Proficient in Python and its ecosystem (Pandas, scikit-learn) and SQL.
• Strong algorithmic, complexity and ML skills; able to reason about cost at scale.
• Engineer who writes tested, reviewed, maintainable code with CI/CD practices.
• Autonomous, proactive, capable of ownership and resilient in heavy-load contexts.
• Fluent English; cybersecurity experience a plus; Spark (PySpark) familiarity.
• PhD in computer science highly desirable.

Responsabilités

• Build and operate the data platform; design and implement Python data processing workflows from development to production.
• Centralize heterogeneous sources (Product, Finance, Marketing) for reliable data across teams.
• Develop, test, and orchestrate pipelines via Airflow; ensure data quality and backend performance.
• Join squads to own data science/algorithmic building blocks for features.
• Deploy algorithms to production; industrialize model lifecycle and monitoring.
• Share knowledge and mentor teammates; improve resilience and performance under heavy loads.

Connaissances

Python

SQL

Pandas

scikit-learn

PySpark

Algorithms

CI/CD

Production-grade code

Formation

Master's degree or PhD in CS/related

Outils

Airflow

Spark/PySpark

Description du poste

You will join our Data team, currently in its growth phase, with a twofold challenge: industrializing a platform able to absorb massive real-time volumes (1,000,000 events per second), and turning that critical mass of information into tangible product value.

This role deliberately straddles two worlds:

• Within the Data team, you build and harden the pipelines that feed the entire company.
• As reinforcement for our tech and product squads, you join pitches that call for genuine mathematical, statistical and algorithmic depth: designing, adapting and implementing the advanced algorithms behind the features we want to build and then shipping them to production
• yourself.

This is a role for someone who dislikes the border between the notebook and the running service: you design the algorithm, you write it properly, you deploy it, you monitor it.

Get to know us :

Sekoia rethinks cybersecurity with an innovative SaaS solution: an industry-leading AI-SOC platform capable of neutralizing threats before our customers suffer the impacts.

In a world where everything is connected, cyber threats are becoming ever more sophisticated, more numerous and more dangerous. Sekoia aims to make these threats painless.

With our latest fundraising of €26 million in 2025, we will continue to strengthen our highly ambitious international expansion and our technological development to serve our customers.

By joining Sekoia today, you’ll dive into a period of rapid growth, collaborating with a cross-functional team that leverages cutting-edge AI to write the playbook for next-gen security operations centers and extend our global footprint.

If you’re passionate about defending the digital world and making a tangible impact, there’s never been a better time to join us !

Your missions :

Build and operate the data platform (Data Engineer hat)

• Design and implement in Python data processing workflows, from development to production.
• Centralize and harmonize heterogeneous sources (Product, Finance, Marketing) to make data accessible and reliable for all Sekoia teams.
• Develop, test, and orchestrate pipelines (via Airflow).
• Act as a curator of the data, collecting and enriching the business data generated day after day by our automated sensors and our analysts.
• Monitor and guarantee the quality and back-end performance of production.

Bring algorithmic value to the product squads (Data Scientist hat)

• Join a squad for the duration of a pitch to own the data science / algorithmic building block of the feature.
• Understand the business needs of our analysts and Product Managers, and translate them into an algorithmic methodology or a statistical learning model.
• Select, adapt or design the right algorithm, including when the answer isn't an off-the-shelf model: heuristics, statistical methods, graph algorithms, anomaly detection, and so on.
• Define the evaluation metrics and demonstrate that the solution genuinely answers the need, at our scale.

Ship it and keep it running (MLOps hat)

• Deploy your algorithms to production for the long run, within a quality assurance process: automated testing, continuous integration, code review.
• Industrialize the model lifecycle: packaging, reproducibility, versioning, retraining, monitoring and drift tracking.
• Propose innovative solutions to ensure the resilience and performance of our processing under heavy load.
• Empower your colleagues by providing the tools they need to leverage high-quality data independently.
• Bring a critical eye and contribute to the team's growth (knowledge sharing, mentoring).

The position is ideally based in Paris, or can be based in Rennes, with up to 3 remote days per week.

Your profile :

• You hold a Master's-level degree or above (MSc, engineering school, PhD) and have 3 to 5 years of professional experience combining data science and software development — or a data engineering background with a genuine appetite for algorithms.
• You are proficient in Python and its scientific ecosystem: pandas, scikit-learn, as well as SQL.
• You have strong skills in algorithms, complexity classes, optimization, and machine learning: you can reason about an algorithm before implementing it, and estimate what it will cost at scale.
• You are an engineer, not just a prototyper: you write tested, reviewed, maintainable code, and you are comfortable with continuous integration and software engineering best practices.
• You are a proactive "doer": autonomous and mature, you take ownership of your subjects rather than waiting for instructions.
• You are driven by efficiency and resilience, capable of building systems that stay performant under heavy loads.
• You are deeply curious about new trends in the data ecosystem and about technological change.
• You write and speak English fluently.
• You have experience in cybersecurity.
• You are comfortable with Spark (PySpark).
• You hold a PhD in computer science.

• Strong values of collaboration, innovation, trust, excellence, humility and open-mindedness to help you thrive and make your contribution impactful
• Remote-friendly setting: you can be in a hybrid setting (Paris or Rennes) with up to 3 remote days per week, or be fully remote with professional trips once a month
• 100% of the Alan Health insurance package covered by Sekoia
• Swile vouchers of 11€/day 50% covered by Sekoia
• Offices located in central Paris (10e) and central Rennes (near the station)

You can learn more about our work environment by checking our Welcome To The Jungle page.