Data Scientist (Generative AI)

• Industry: pharma
• Location: 100% remote
• Rate: we’re open to your suggestions

The role of the Data Scientist focuses on generating actionable insights through data analysis, integrating diverse data sources, and applying AI-driven methods to support Consumer Health brands. The primary goal is to transform business inquiries into structured analytical solutions that produce consistent, reliable insights.

Responsibilities

• Design systematic methods to generate meaningful insights from data.
• Integrate structured data and knowledge from various sources.
• Create reusable analytical recipes and agent skills.
• Evaluate various insight-generation approaches and maintain rigorous quality metrics.
• Optimize solutions for trust and operational scalability.

Requirements

• Strong Python skills with experience in machine learning and generative AI.
• Experience with structured data analysis and analytical methods.
• Experience applying Generative AI and LLMs to analytical tasks.
• Ability to balance probabilistic AI techniques with deterministic analytical methods.
• Understanding of data semantics and experience with knowledge representation.
• Experience in defining and tracking quality metrics in AI and analytics.
• Familiarity with multi-agent AI frameworks.
• Experience with vector databases.
• Experience with Azure cloud services and/or AWS equivalents.
• Experience with Databricks.
• Strong analytical mindset with a structured approach to problem-solving.
• Fluency in English (written and spoken).

Nice to have

• API & MCP development experience.
• Experience integrating analytics and AI in Consumer Health or related fields.
• Experience in building production-grade agentic AI solutions.
• Experience with Aegra for running AI agents.