Data Scientist Lead

Summary

Join DataDome's Threat Research Team as a seasoned Data Scientist to contribute to the ML roadmap definition and implementation. You will focus on innovative uses of ML technologies within DataDome solutions, pushing ML-based detection improvements in production. Responsibilities include solving high business-impact problems, shaping data products, leading data science intelligence efforts, mentoring junior team members, and representing DataDome's expertise at conferences. The ideal candidate possesses 7+ years of experience in a Data Scientist role, strong programming skills in Python, and a strong computer science background. DataDome offers a flexible work environment, generous health benefits, professional development opportunities, team-building events, parental care, and paid time off.

Requirements

• At least 7+ years of experience in a Data Scientist role
• Strong programming skills in python
• Strong computer science background
• Good knowledge of ML algorithms
• Ability to learn and implement new ML approaches (from papers, blogs, etc.)
• Good communication and writing skills (mainly in English)

Responsibilities

• Contribute and challenge ML topics at DataDome in the field for fraud detection
• Push ML-based detection improvements in production with the help of other technical team
• Solve high business-impact problem using your Data Science skills, acting like a problem solver for product teams, and delivering state of the art research to production
• Shape data products in alignment with product strategy
• Lead efforts in Data Science intelligence, being aware of the latest ML-related technologies and evolution of the research in the fraud detection domain
• Provide leadership in data science methodologies, ensuring best practice and processes are being carried out in all of the projects
• Mentor more junior team members
• Represent DataDome expertise in the field at internal and external conferences and customer events

Preferred Qualifications

• Good understanding of how the web works: browser vs server, GET/POST requests, how a login works
• Has already done a simple bots/crawler or could discuss main automation techniques: HTTP library, headless browser, real browser
• Has knowledge of Scala or Java
• Has experience in Graph Neural Networks and/or ML online training
• GCP and VertexAI knowledge or certification

Benefits

• Flex Life: While we offer remote, hybrid, & in-office options each position specifies the level of flexibility. Our Parisian office is located next to the Opera Garnier. You will also receive a 500€ stipend to help you set up your ideal workspace if you work hybrid or remotely
• Generous Health Benefits: We have partnered with Alan for your healthcare needs
• Professional Development : #Growth is part of our DNA, therefore we have invested in an internal Learning and Development platform and offer the opportunity to request additional training and support via your manager
• Events & Team building: Feel the #TeamSpirit both virtually & onsite, with several events & workshops planned throughout the year, including an annual offsite evens, quarterly online and offline events and parties, lunch & learns, & much more
• Parent Care: Gift & care packages for parents
• PTO: Based on the country you are based from (e.g. 25 days in France)