Data Science Manager

Join to apply for the Data Science Manager role at Gorgias. We believe conversations will become the #1 way to shop. At Gorgias, we’re building the platform that makes this real: a unified AI agent that sells, supports, and re‑engages customers across the entire journey. Conversational Commerce is the future of ecommerce, and we’re leading that shift. Our mission is to turn every interaction between a brand and its customers into a relationship: personal, seamless, and intelligent. By combining deep product expertise with the latest in AI, we’re making shopping feel more natural, human, and connected than ever before. To win, we focus relentlessly on: Quality: conversations that feel authentic and on‑brand. Experience: effortless shopping from chat to checkout. Re‑engagement: personal, 1‑on‑1 dialogue instead of noisy marketing. The opportunity is massive. As AI reshapes how people buy, Gorgias is building the foundation for the next decade of ecommerce, where every brand has its own intelligent agent and every customer feels understood. Join us to make Conversational Commerce real. We’re looking for a Data Science Manager to lead and grow the team behind our AI Agent at Gorgias. In this role, you’ll drive high‑impact, cross‑functional projects that directly influence our product experience and revenue. You’ll combine technical depth with project leadership to help scale one of the most advanced e‑commerce customer support platforms in the world. About The Team You’ll join our Conversational AI team, a group of Engineers, ML experts, Product Managers, and Designers working together to automate customer service at scale. Our AI Agent now handles over 1 million automated interactions every month, helping thousands of merchants better serve their shoppers. The Data Science team builds the intelligence behind the agent, designing experiments, optimizing performance, and enabling data‑driven decisions that shape our product direction. What You’ll Do Lead and prioritize multiple cross‑functional projects in data science, machine learning, and product experimentation. Manage capacity planning and align work across Engineering, Product, and Design teams. Drive LLM evaluation strategies, prompt engineering workflows, and model experimentation. Analyze large‑scale product and model performance data to improve user outcomes and revenue impact. Guide the team in developing scalable tools and metrics for ongoing testing, iteration, and success tracking. Act as a technical and strategic leader, supporting team growth, hiring, and mentoring. What We’re Looking For Experience managing data science or applied ML teams, especially in a product‑driven environment. Proven ability to balance and deliver on multiple high‑impact projects at once. Strong background in LLM evaluation, prompt engineering, and experimentation design. Comfort working with large datasets, deriving insights, and communicating them clearly. Collaborative mindset and ability to drive alignment across Product, Engineering, and other stakeholders. Nice to Have Experience in ecommerce, SaaS, or conversational AI. Familiarity with customer support platforms or merchant tools. Perks & Benefits 💰 Competitive salary & equity (90th percentile worldwide, see our public salary calculator). 🏖️ 5‑week vacation plus 2 weeks RTT (we follow each country's appropriate PTO laws). 🤕 Paid sick leave. 🧸 Paid parental leave (16 weeks). 💻 MacBook Pro. 🍽️ Personal credit card to buy lunches (we use Swile). 🏥 Private health insurance (we use Alan). 💆🏻♀️ Get up to €700 to set up your workstation at home (working from home should feel breezy). 📚 Get up to €2 000 of learning material and wellness support per year This includes €1 500 for learning material (such as books, courses, and individual coaching sessions) directly linked to your job scope, as well as a €500 wellness budget. Take advantage of these resources to grow in your role and prioritize your personal development and wellness. 🥰 Every quarter, we organize an online company‑wide summit to discuss where we’re going and strengthen social bonds. Once per year we organize offsite team retreats and company retreats. AI at Gorgias At Gorgias, AI is a natural extension of how we work and build. Our teams use it every day to research, write, analyze, code, and craft better customer experiences. Everyone has access to premium AI tools (ChatGPT, Claude, Granola, Cursor & others) and an annual L&D budget to explore new ones. The real magic happens when we share what we learn. Our #powerup Slack channel is a digital petri dish of new tools and workflows, and each team has AI champions who showcase fresh ideas during weekly company‑wide standups, now practically AI demo sessions. We see AI not as a replacement for creativity or empathy, but as a multiplier, helping us move faster, think deeper, and serve customers better. AI use in Recruiting at Gorgias We use AI tools to assist in managing and assessing applications, with human oversight at every stage. Diversity & Inclusion at Gorgias We’re committed to creating an inclusive environment where everyone can thrive. We welcome applicants from all backgrounds, experiences, and perspectives because diverse teams drive innovation and better decision‑making. If you need accommodations during the application or interview process, please contact us at accommodation@gorgias.com. Seniority level Mid‑Senior level Employment type Full‑time Job function Engineering and Information Technology Industries Software Development Referrals increase your chances of interviewing at Gorgias by 2x. Get notified about new Data Science Manager jobs in Paris, Île‑de‑France, France. #J-18808-Ljbffr