Senior Data Analyst

Nebesta; Nice; À distance; EUR 60 000 - 100 000; Plein temps

Résumé du poste

An innovative firm is seeking a Data Scientist to revolutionize the customer service industry with AI. This role involves utilizing advanced data science models and collaborating closely with engineering teams to enhance AI agent performance. The ideal candidate will have extensive experience in quantitative analysis, SQL, and Python, along with a passion for building and innovating in a remote, collaborative environment. Join a forward-thinking team dedicated to transforming industries through technology and creativity, where your contributions will significantly impact the future of customer service automation.

Prestations

Competitive Salary

Equity Participation

Full Remote Work

Professional Growth Opportunities

Qualifications

• 7+ years of experience in quantitative analysis and collaboration with product teams.
• Advanced proficiency in SQL and Python with production-level coding experience.

Responsabilités

• Utilize LLMs to develop automation roadmaps and evaluate AI agents' quality.
• Develop performance metrics for customer support and lead innovation in metrics.

Connaissances

Quantitative Analysis

SQL

Python

Machine Learning

Data Analysis

Description du poste

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 investors including 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 based in Paris, with offices in the 9th arrondissement, but we welcome applicants from all over Europe as our Data & Engineering team will operate remotely.

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: Over 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.

RESPONSIBILITIES

You will report directly to the CPO & co-founder, 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 evaluate AI agents' quality.

Metrics & KPIs

• Develop and refine performance metrics for customer support, such as measuring “accuracy.” Lead innovation in metrics for LLMs to assess their quality.
• Design A/B tests to continuously measure and improve AI agent performance.

Client-facing analysis

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

WHAT WE ARE LOOKING FOR

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

At Nebesta, building a cohesive team is crucial. We seek:

• Entrepreneurs: A small, empowered team capable of leading and operating autonomously.
• Innovators: Creativity is essential as we reinvent industries with AI.
• Builders: Problem-solvers who iterate on features to create value.
• Team Players: Collaborative individuals who support shared success.

BENEFITS

• Competitive Salary: Based on experience.
• Equity: Participation in our employee stock option plan (BSPCE).
• Full Remote: Work from anywhere in Europe with a supportive remote culture.
• Professional Growth: Continuous learning, mentorship, and career advancement opportunities.