Data Scientist
Data Scientist Engineer
Remote
Apply on the employer's siteRole description
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.
🚀
Bonus points:
- You have experience in
cybersecurity. - You are comfortable with
Spark (PySpark). - You hold a
PhD in computer science.
👀 Are you interested in this job but feel you haven’t ticked all the boxes? Don’t hesitate to apply, and tell us in the cover letter section why we absolutely must meet!
Why join Sekoia.io ?
- 💙
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 - 🌅 25 paid leaves + 12 RTT
- 🏢
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 💻.
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