LLM Research Data Scientist

Join Innodatas global Data Science team as an LLM Research Data Scientist and drive innovation in Multimodal Large Language Models and Agentic Workflows. In this position, you’ll contribute across the full LLM lifecycle, from data collection and post-training to evaluation and benchmarking. Collaborate closely with our data engineering teams to translate data into client-facing insights. Enjoy the freedom to publish scientific work and contribute to open-source initiatives.

Key Responsibilities

• Analyze existing workflows and data pipelines to extract insights, identify areas of improvement, and propose recommendations.
• Collaborate with internal teams and clients to operationalize findings.
• Specialize in one of the following focus areas:

oData: Collection, curation, and synthetic data creation

oModeling: Multimodal post-training and agentic workflow creation

oEvaluation: LLM and Agent benchmarking and performance analysis

What We Look For

• Strong communication and collaboration skills across technical and non-technical audiences
• Ability to work autonomously, self-motivated, ambitious
• Client-facing mindset: active listening, clear articulation of findings and recommendations
• Willingness to help upskill teammates in data science and generative AI fundamentals

Qualifications

• Master’s degree in Data Science, Computer Science or a related field
• 10+ years of experience in data science and client-facing roles
• High proficiency with AI tools (e.g., Copilots, GenAI platforms) and applying them to complex real-world use cases
• Expert-level Python skills, with deep familiarity with LLM frameworks for data manipulation, post training and evaluation