Data Scientist (Generative AI)
Description
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.