BlaBlaCar

People Operations

• Lead the execution of HR processes (Onboarding → Offboarding), ensuring a positive experience while providing clear visibility to relevant stakeholders
• Formalize all contractual elements (contracts, amendments, certificates) and manage immigration/work permit renewals
• Identify opportunities to streamline workflows and lead People Ops projects aimed at enhancing efficiency
• Explore and implement AI-driven solutions to automate repetitive administrative tasks (e.g., automated document generation, AI-powered ticket sorting, or smart data auditing) to free up time for high-value advisory work
• Manage employee inquiries via JIRA, providing prompt, effective support on HR policies
• Provide expert recommendations for handling complex situations (performance issues, conflicts, legal risks)
• Document specific requests to ensure every situation is tracked and handled fairly, building consistent "case law" for the organization
• Work closely with the POPS team, including our Payroll Specialist (upstream data flows), HRBPs, Social Expert, Recruiters, and L&D, to ensure a cohesive employee experience
• Actively participate in team meetings, sharing insights and contributing to a supportive, high-performance team environment

People Operations Specialist

Business Analyst

• Build a strong understanding of the key levers impacting our carpool, train & bus performance through internal analysis and market benchmarking
• Formulate data-driven recommendations to improve operations and feed strategy
• Build trustful relationships with Business, Product and Marketing teams to identify their needs, challenges and uncover opportunities
• Improve our current reporting framework and deliver reports using Tableau software
• Contribute to our ESG strategy by developing analytical tools for the Sustainability Manager

Business Analyst Intern

Data Scientist

• Develop & deploy ML models: Design, build, and ship machine learning models into production, collaborating closely with other Data Scientists and ML Engineers to directly enhance our core marketplace (e.g., matching, ETA).
• Implement automation of internal capabilities: Implement intelligent solutions for real-time fraud detection, utilize deep learning for profile picture moderation, and leverage LLMs for text moderation and generative AI for tasks like translation.
• Contribute to generative AI innovation: Actively identify, prototype, and implement generative AI solutions to enhance employee productivity and automate key operational processes.
• Grow in your role: Be ready to be mentored and learn, and bring energy and novel point of view to the team.
• Collaborate across a 360° data team: Work within our autonomous data team, comprising ML Engineers, Data Analysts, Data Engineers, and fellow Data Scientists, managing projects end-to-end.

People Operations Specialist

Business Analyst Intern

Entry Level Data Scientist