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.

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