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 FAQ questions, but can automate complex processes, autonomously use back-office tools, all while being safe, accurate, and easy to set up.

We recently raised an important seed round from Serena, Motier Ventures (Galeries Lafayette, La Redoute), Xavier Niel, Freestyle (US-based), Michaël Benabou (Veepee), and 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 arrondissement, but we welcome applicants from all over Europe as the Data & Engineering team will be remote-first.

ABOUT THE FOUNDERS

You'll work closely 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 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.

RESPONSIBILITIES

You will report directly to one of the CPO & co-founders, work closely with engineers & ML engineers, and actively participate in building Nebesta’s product:

Data Science

• Utilize LLMs & other data science models to understand human agents' tasks, develop automation roadmaps for clients, and measure AI agents' quality.

Metrics & KPIs

• Develop and refine performance metrics in customer support contexts (e.g., measuring “accuracy”).
• Design A/B tests to evaluate and improve AI agents’ performance.

Client-facing analysis

• Share analysis with clients to promote Nebesta AI agents, prioritize features, and demonstrate performance.
• Summarize findings and recommendations for non-technical audiences.
• Create reports and dashboards for internal and external use.

WHAT WE ARE LOOKING FOR

• 7+ years of experience in quantitative analysis roles, with close collaboration with product & engineering teams.
• Experience working with ML engineers on complex ML features (e.g., Search).
• Advanced knowledge of SQL and Python.
• Experience writing production-quality Python code, including unit testing, is a strong plus.
• Experience with LLMs is a plus.

OUR CULTURE

We value:

• Entrepreneurs: Ability to lead and operate with autonomy.
• Innovators: Creativity to reinvent industries with AI.
• Builders: Problem-solving mindset to iterate and create value.
• Team Players: Sharing knowledge and supporting each other.

BENEFITS

• Competitive salary, adjusted based on experience.
• Equity participation through our employee stock option plan (BSPCE).
• Full remote work from anywhere in Europe.
• Opportunities for professional growth, mentorship, and career development.