About this role

The professional will work on Data Intelligence projects, intelligent automation, optimization, and the development of advanced solutions for large enterprise clients in the Supply Chain, Manufacturing, Retail, and Agribusiness sectors.

Minimum of 5 years of experience in Data Science, predictive modeling, Machine Learning, and development of analytical pipelines.
Proficiency in Python and libraries such as Pandas, scikit-learn, PySpark, TensorFlow, and/or PyTorch.
Experience with Big Data and distributed processing, especially Spark.
Experience with Cloud environments (AWS, Azure, and/or Databricks).
Hands-on experience with LLMs and NLP, including embeddings, classification, NER, summarization, RAG, fine-tuning, and deployment in production pipelines.
Experience developing and integrating AI Agents, including orchestration, autonomous tasks, multi-step actions, tool usage, and integration with operational data.
Ability to translate business problems into technical solutions with measurable impact.
Fluent English (spoken and written).

Senior Data Scientist

Key skills