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Senior Associate, Data Scientist, Obesity

Amgen
Thousand Oaks, United Statesfull_timeVerifiedPosted 10 Feb 2026
💰 $140,227/yr($109,358/yr$140,227/yr)

About the role

Career Category

Sales & Marketing Operations

Job Description

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. 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.

Senior Associate, Data Scientist, Obesity

What you will do

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. The role does not have direct reports.

Commercial Analytics & Data Science

  • 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

Data & Technical Execution

  • 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

Business Partnership

  • 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

Ways of Working

  • 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

What we expect of you

We are all different, yet we all use our unique contributions to serve patients. The professional we seek will come with these qualifications.

Basic Qualifications:

Master’s degree

OR

Bachelor’s degree and 2 years of relevant analytics or data science experience

Or

Associate’s degree and 6 years of relevant analytics or data science experience

Or

High school diploma / GED and 8 years of relevant analytics or data science experience

Preferred Qualifications:

  • 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 preferred
  • Strong collaboration and communication skills in a matrixed organization

What you can expect from us

As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your

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Company

Amgen

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