Senior Associate, Data Scientist, Obesity

Role Summary

The Senior Associate, Data Scientist role within Commercial Data & Analytics (CD&A) is a hands‑on analytics position supporting commercial strategy, performance measurement, and decision‑making across Amgen’s portfolio. Based in Thousand Oaks, this role applies advanced analytics, statistical modeling, and data science techniques to commercial business questions and partners closely with cross‑functional teams to deliver actionable insights. This position is designed for an early‑career data scientist who demonstrates strong execution, technical rigor, and the ability to translate analytical outputs into business‑relevant insights.

• Develop, maintain, and enhance analytical and data science solutions to support commercial decision‑making (e.g., forecasting inputs, patient/market segmentation, performance analytics)
• Apply statistical and machine‑learning techniques to large, complex commercial datasets
• Conduct exploratory data analysis, feature engineering, and model validation
• Interpret results with an understanding of commercial context and data limitations
• Write and optimize SQL queries to extract, transform, and analyze data from enterprise data sources
• Work with cloud‑based analytics environments and curated data assets
• Support repeatable analytics workflows and model deployment processes
• Develop dashboards and visualizations using tools such as Tableau or Spotfire
• Translate business questions from marketing, forecasting, insights, and leadership teams into analytical approaches
• Communicate findings clearly to both technical and non‑technical audiences
• Support ongoing commercial reviews, planning activities, and ad‑hoc analyses
• Collaborate closely with forecasting, insights, data strategy, and technology partners within CD&A
• Manage multiple analytical priorities in a fast‑paced commercial environment
• Apply structured problem‑solving and sound judgment in analytical design
• Ensure adherence to data governance, compliance, and documentation standards

• Required:
  
  Master’s degree
• Required:
  
  Bachelor’s degree and 2 years of relevant analytics or data science experience
• Required:
  
  Associate’s degree and 6 years of relevant analytics or data science experience
• Required:
  
  High school diploma / GED and 8 years of relevant analytics or data science experience
• Preferred:
  Proficiency in Python and/or R
• Preferred:
  Strong experience with SQL and relational databases
• Preferred:
  Experience with Tableau, Spotfire, or similar visualization tools
• Preferred:
  Familiarity with cloud analytics platforms (e.g., Databricks, Azure, AWS)
• Preferred:
  Understanding of statistical modeling and machine‑learning concepts
• Preferred:
  Ability to synthesize complex analyses into clear, business‑focused insights
• Preferred:
  Experience in pharmaceutical, biotech, healthcare, or commercial analytics
• Preferred:
  Strong collaboration and communication skills in a matrixed organization