CD&A Data Scientist, Obesity - Senior Associate
Listed on 2026-07-27
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IT/Tech
Data Analyst, Data Scientist
Join Amgen’s Mission of Serving Patients
At Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission—to serve patients living with serious illnesses—drives all that we do.
Since 1980, we’ve helped pioneer the world of biotech in our fight against the world’s toughest diseases. With our focus on four therapeutic areas –Oncology, Inflammation, General Medicine, and Rare Disease– we reach millions of patients each year. Amgen is advancing a broad and deep pipeline of medicines to treat cancer, heart disease, inflammatory conditions, rare diseases, and obesity and obesity-related conditions.
As a member of the Amgen team, you’ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives.
Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you’ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.
Data Scientist, Obesity- Senior Associate
The Data Scientist
- Senior Associate 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. The role does not have direct reports.
This role requires three days a week on‑site.
Key Responsibilities Commercial Analytics & Data ScienceDevelop, 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
We are all different, yet we all use our unique contributions to serve patients. The dynamic professional we seek is someone with these qualifications.
Basic QualificationsMaster's Degree OR
Bachelor’s degree and 2 years of relevant experience, OR
Associate’s degree and 6 years of relevant experience OR
High school diploma / GED and 8 years of relevant experience
Proficiency in Python and/or R
Strong experience with SQL and relational databases
Experience with Tableau, Spotfire, or similar visualization tools
Familiarity with cloud analytics platforms (e.g., Databricks, Azure, AWS)
Understanding of statistical modeling and machine‑learning concepts
Ability to synthesize complex analyses into clear, business‑focused insights
Experience in pharmaceutical, biotech, healthcare, or commercial analytics…
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