Junior Data Scientist (AI/ML)

TL;DR

Junior Data Scientist (AI/ML): Developing and deploying cutting-edge machine learning models and intelligent automation solutions for a community-based travel app with an accent on optimizing customer support processes and enhancing platform trust and efficiency. Focus on building real-time fraud detection, AI-powered content moderation, and pioneering generative AI use-cases for internal efficiency.

Location: Hybrid in Paris, France (2-3 days at the office)

Company

hirify.global is the world’s leading community-based travel app enabling 27 million members a year to carpool or travel by bus in 21 countries.

What you will do

• Develop and deploy machine learning models to optimize support processes and enhance core marketplace features.
• Implement intelligent automation for real-time fraud detection, deep learning for profile picture moderation, and LLMs for text moderation and translation.
• Actively identify, prototype, and implement generative AI solutions to boost employee productivity and automate operational tasks.
• Contribute to shaping the CR ecosystem and empowering data-driven decisions.
• Collaborate within an autonomous data team comprising ML Engineers, Data Analysts, Data Engineers, and fellow Data Scientists.

Requirements

• At least 1 year of professional experience in data or software engineering, with experience putting Machine Learning models in production or producing data-based applications.
• Knowledge of Machine Learning theory, statistics, probabilities, and/or econometrics modeling.
• Fluency in SQL and Python.
• Excellent communication skills to explain models clearly to both analysts and decision makers.
• Pragmatic approach to problems and a strong business sense.
• Fluent in English.

Nice to have

• Knowledge of main machine learning packages (scikit-learn, XGBoost) and/or MLOps frameworks (KubeFlow, TensorFlow, Vertex AI).
• Experience with Python data visualization apps (Streamlit, Flask, Dash).

Culture & Benefits

• Hybrid work status (2-3 days at the office).
• Financial support for home office equipment.
• 50% healthcare coverage (Alan) and local meal plan policy (Swile card).
• Free unlimited carpooling & bus rides.
• Personal growth via trainings, mentorship, and internal mobility programs.
• Employee Stock ownership plan and regular team building events.
• Minimum 25 days holiday per year, plus 1 day off to test the product and 1 day for social engagements.

Hiring process

• 45-min video-call with Talent Acquisition Manager.
• 45-min video-call with Engineering Manager.
• 90-min technical assessment.
• 30-min interview with Head of Data.