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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 200 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 offices in Boston, Paris, and London, 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, innovative culture, high commitment to ethics, and enthusiasm for being the best possible place to work!

Our values:

  • Be Bold

  • Be Curious

  • Stronger Together

 

The Job

We’re looking for our future Data Scientist.

We process billions of documents every day to extract leaks of relevant data about 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 filtering algorithms as intelligent as possible, in order to optimize and facilitate the processing of security incidents.

Your responsibilities

Your mission will be to handle project management and to realize projects from end-to-end: from data exploration and state of the art, to production release and monitoring.

This mission will imply:

  • Work hand-in-hand with our cybersecurity analysts and product managers to define and maintain the objectives of model performance;
  • Collect data, explore, read the state of the art, document, benchmark, develop and deploy. What for? Categorize, score, extract sensitive information from text !
  • Conceive, plan and prioritize ongoing projects;
  • Do technology watch and be a force of proposal on new technologies or methods.

Data Team

Our Product & Engineering organization = 55 passionate people, in 12 specialised teams.

Three of these teams are entirely focused on data: we have a data engineering team, a data analyst team, and a data science team. They enable the company to leverage data by correctly storing, interpreting and understanding patterns out of it.

That job position is open in the third team: the data science team. The data science team includes both machine learning engineers and data scientists.

Our (current) stack

  • Language: Python
  • Databases: BigQuery, BigTable
  • Librairies: pandas, scikit-learn, XgBoost, seaborn, plotly, spacy, nltk
  • MLOps: Gitlab CI, Docker, Kubernetes, Terraform, Airflow, MLFlow, kedro
  • Development environment: JupyterHub
  • Other: GCP, Datadog, Dataflow, PubSub

Requirements

Your preferred experience

  • Be curious, passionate and with a great team spirit
  • Will to learn, and ability to share their knowledge
  • 2 to 5 years of work experience in building end-to-end ML system(s), from collecting the product need to the deployment in production
  • Creative spirit who likes to solve data science problems by discussing its ideas with other's
  • Ability to handle a project, with business need understanding and rigor

If you do not meet 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 mod programming, when it makes sense

👩‍🎨 Quality time dedicated to technical design

🧙‍♂️Half the software engineers have over 10 years of experience

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

✌️ Cooldown week dedicated to learning and experimenting

🤼 Whole team buildings each semester #strongertogether

🧠 Career path & trainings #bebold

📍

Remote options from everywhere in Europe

(but you can come to our amazing office near Parc Monceau whenever you want, and it's paid by the company up to once a month)

Our Benefits

💰 Salary range: 50-60k euros based on your level of seniority and competencies you will demonstrate during the hiring process

🏦 5% bonus, based on company and individual performances

💸 Stock options for every employee

🍱 Debit card for paying for lunch, with company contribution.

💛 Very friendly and benevolent atmosphere with parties (CEO is an ex-DJ), sport sessions, board games nights, music band…

👊🏻 DE&I group

🌍 Green team

🥓 Free English Courses

🏋🏾‍♀️ Class Pass credits for your gym sessions

90% of our People recommend CybelAngel

92% are happy with the work life balance at CybelAngel

 

Your hiring journey with us

  • 30’ call with Pierre, Recruiter, to discuss about expectations from both ends
  • 60’ call with Fabien, Senior Data Scientist and Pierre, Machine Learning Engineer, to discuss context and projects and to evaluate mission fit
  • 45' meeting with the whole team to present the technical test (kaggle) that you prepared at home => have the chance to present your methodology and added value, followed by 30’ call with your future manager, Marie, Data Science Team Lead
  • 30’ informal call with Thomas, the Head of Data

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The ability to work remotely increases employee happiness by 20 percent.