Senior Associate, Data Scientist, Obesity

Amgen • Thousand Oaks, CA

2d

About The Position

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.

Requirements

• 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
• 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

Nice To Haves

• Experience in pharmaceutical, biotech, healthcare, or commercial analytics preferred
• Strong collaboration and communication skills in a matrixed organization

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

Benefits

• health and welfare plans for staff and eligible dependents
• financial plans with opportunities to save towards retirement or other goals
• work/life balance
• career development opportunities that may include: A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts
• A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan
• Stock-based long-term incentives
• Award-winning time-off plans
• Flexible work models where possible

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level