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.

Responsibilities

• 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

Qualifications

• 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