Senior Data Analyst

Nebesta is on a mission to use AI to automate the $500 billion customer service industry with true AI agents that don’t just answer to FAQ-questions, but can automate complex processes, autonomously use back-office tools, all while being safe, accurate, and easy to set-up.

We just raised an important seed round from Serena, Motier Ventures (Galeries Lafayette, La Redoute), Xavier Niel, Freestyle (US-based), Michaël Benabou (Veepee) as well as notable business angels, including founders of Bn€ start-ups in France & Germany (Alan, Car-on-Sale, Ankorstore, etc.) and former BPO executives.

We are Paris-based, with offices in the 9th arrondissements, but we welcome applicants from all over Europe as the Data & Engineering team will be remote-first.

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ABOUT THE FOUNDERS

You'll work hand-in-hand with our experienced founding team:

• Nicolas Cohen: Founder & CEO of Ankorstore (€360M+ raised, valued at $2B), and Founder & CEO of A Little Market (acquired by Etsy).
• Ivan Litovsky: Former VP of Product at Ankorstore and Lead Product Manager on AI Models at Criteo.
• Marien Pinot: 10+ years of experience deploying machine learning models in production for companies like Airbus, Leboncoin, BackMarket, Ankorstore, Automattic, and Allianz.
• Jacques de la Bouillerie: Former COO of Doctolib and Groupon, with experience scaling customer service teams to over 300 agents.

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RESPONSIBILITIES

You will report directly to one of the CPO & co-founder, work hand-in-hand with engineers & ML engineers, and take an active role in the building of Nebesta’s Product:

Data Science

• You will use LLMs & other data science models to understand Human agents' tasks, build an automation roadmap for our clients, and measure AI agents' quality.

Metrics & KPIs

• Develop & refine performance metrics in the context of Customer Support (How to measure “accuracy”, etc.). You will be at the forefront of LLMs development & need to build innovative approaches to measure their quality.
• Design “AB tests” experiments in the context of LLMs to help Nebesta continuously measure & improve the performance of the AI agents.

Client-facing analysis

• Your analysis will be shared with clients to sell Nebesta AI agents, prioritize roadmaps with them, and demonstrate Nebesta’s AI agents' performance.
• You will need to summarize findings & recommendations to make them comprehensive for a non-technical audience.
• You will build standard reports and dashboards for internal as well as external usage.

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WHAT WE ARE LOOKING FOR

• You have 7+ years of experience in quantitative analysis roles, including having worked closely with product & engineering teams.
• Specifically you have experience working with ML engineers on complex ML-related features (ex. Search, etc.)
• You have advanced knowledge of both SQL and Python
• Experience writing python in a production environment is a strong plus (writing clean code used in production, writing unit tests, etc.)
• Experience using & testing LLMs is a plus.

At Nebesta, building a coherent team is also extremely important. So we are looking for:

• Entrepreneurs: As we build our product from the ground up, we seek a small but powerful team empowered to lead and operate with autonomy.
• Innovators: Reinventing entire industries with AI is uncharted territory, and creativity is essential to our culture.
• Builders: Beyond coding, we’re problem-solvers who iterate on features, pushing boundaries to create tangible value for the company and our users.
• Team Players: We share knowledge, support one another, and focus on collective success.

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BENEFITS

• Competitive Salary: Adjusted based on experience.
• Equity: Participation in our employee stock option plan (BSPCE).
• Full Remote: Flexibility to work from anywhere in Europe with a supportive remote culture.
• Professional Growth: Opportunities for continuous learning, mentorship, and career advancement.