Data Scientist

Industry: pharma Location: fully remote Rate: we’re open to your suggestions Long-term cooperation

: Build AI-powered insight generation solutions combining data, business knowledge, and advanced analytics. Develop semantic data products, knowledge graphs, and RAG-based capabilities to enrich analytical context. Create reusable analytical recipes, agent skills, and decision frameworks for recurring business questions.

Evaluate and optimize AI, ML, and statistical approaches using robust experimentation and performance metrics. Ensure insight quality, explainability, consistency, and scalability across brands, markets, and datasets. Partner with cross-functional teams to deliver trusted, enterprise-scale analytics and AI solutions.

Key requirements: 4+ years of experience as a Data Scientist. Strong Python skills with hands-on experience in machine learning and generative AI workflows, including writing production-grade code Strong experience working with structured data and analytical methods, including data exploration, statistical analysis, feature engineering, hypothesis testing, segmentation, trend and driver analysis, and translating business questions into robust analytical approaches Experience applying Generative AI and LLMs to analytical and knowledge-intensive use cases, including prompt engineering, structured outputs, tool/function calling, context engineering and retrieval-augmented generation (RAG) Strong analytical mindset with the ability to b