Data Scientist, AI

Join Volta, a leading AI company, as a Data Scientist. In this role, you will be responsible for improving the accuracy of Volta's AI, building evaluation harnesses, running error analysis, and enhancing extraction and matching on real purchase orders from enterprise customers. You will report to the Head of AI and focus on measurement, retrieval, and LLM-based extraction. The position is hybrid, based in Milan or Paris.

Location: Milan or Paris, hybrid

At Volta, we believe diversity makes our teams stronger. We welcome all applications, regardless of gender, background, or experience.

Responsibilities

• Assumer la responsabilité de l'exactitude de l'IA de Volta, en définissant comment elle est mesurée par champ et en suivant les progrès.
• Construire des évaluations automatisées qui s'exécutent d'elles-mêmes, en intégrant des ensembles de données d'or et des évaluations par client.
• Améliorer le processus d'appariement et d'extraction en utilisant des modèles de langage de grande taille (LLM) et des techniques de recherche avancées.
• Evaluation discipline: test sets, metrics, label noise and regression tracking over time
• Real-world documents: messy PDFs, spreadsheet exports, emails in several languages

Requirements

• Applied data scientist who measures things: 3+ years shipping ML or NLP to production, judged on a metric that mattered to users
• LLM applications in production: extraction, classification or retrieval built on LLM APIs with structured outputs and real evaluation, not only demos or notebooks
• Search and matching: entity resolution, record linkage or product search, ideally with Elasticsearch, OpenSearch or hybrid lexical plus vector retrieval
• Writes production code: Python that other people can review, test and run in CI
• Must have: strong Python, pandas or polars and testing habits; hands-on with LLM APIs (Gemini, OpenAI, Anthropic or similar); evaluation datasets and metrics (precision and recall, per-field accuracy, confidence calibration); search and retrieval (Elasticsearch or similar, fuzzy matching, BM25, embeddings, reranking); solid SQL; rigorous error analysis; fluent English; French or Italian (many documents are written in them)

Preferred

• Nice to have: LLM tracing and evaluation tooling (Langfuse or similar); document parsing and OCR; B2B commerce data (catalogues, units of measure, price lists, ERP master data); GCP (Cloud Run, Vertex AI)
• Degree: MSc in Computer Science, Statistics, Applied Math, Computational Linguistics or a related quantitative field, or equivalent practical experience