Specialist Is Data Scientist - Finance

Amgen Inc

Python proficiency for ml and ai development
Experience with large language models and prompt engineering
Expertise in building forecasting and statistical modeling workflows
This role leverages advanced analytics, AI, and GenAI capabilities to unlock insights and drive innovation in Amgen's finance landscape

Job Summary

  • This role leverages advanced analytics, AI, and GenAI capabilities to unlock insights and drive innovation in Amgen's finance landscape.
  • You will develop, train, validate, and deploy machine learning and natural language processing models to solve finance-specific problems such as forecasting and anomaly detection.
  • The position requires collaboration with Finance stakeholders to identify high-value use cases while establishing best practices for responsible AI and model governance.

Matching Summary

This role leverages advanced analytics, AI, and GenAI capabilities to unlock insights and drive innovation in Amgen's finance landscape.

Skills & Requirements

Must-have

  • Python proficiency for ML and AI development
  • Experience with Large Language Models and prompt engineering
  • Expertise in building forecasting and statistical modeling workflows
  • Hands-on experience with GenAI APIs and vector databases
  • Proficiency in PySpark, Scala, and Databricks for big data
  • Experience with data warehousing platforms like Redshift or Snowflake

Nice-to-have

  • Experience applying AI to Finance domains
  • Familiarity with visualization tools like Tableau or Power BI
  • Understanding of DevOps practices for CI/CD of ML models
  • Familiarity with Enterprise Performance Management solutions
  • Ability to explain AI concepts to non-technical audiences

Key Requirements

  • Master's or Bachelor's degree in Computer Science or related field
  • 8 to 12 years of relevant professional experience
  • AWS Certified Machine Learning – Specialty (preferred)
  • Databricks Certified Machine Learning Professional (preferred)

Work Rights

Not specified

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