Associate Data Science

Career Category Engineering Job Description HOW MIGHT YOU DEFY IMAGINATION? If you feel like you’re part of something bigger, it’s because you are. At Amgen, our shared mission—to serve patients—drives all that we do. We are global collaborators who achieve together—researching, manufacturing, and delivering ever-better products that reach millions of patients worldwide. It’s time for a career you can be proud of. Role Overview The Associate Data Scientist is an entry-level role supporting data science initiatives across Amgen’s portfolio. This role will work closely with Data Science Leads and senior team members to contribute to analytics, modeling, and insight generation, while building strong foundations in applied data science. Live | What you will do - Support   analytics and data science projects   across commercial use cases in the Gen Med portfolio - Assist in   data preparation, exploratory analysis, and feature engineering   to enable modeling efforts - Contribute to development and testing of   predictive models and analytical frameworks   under guidance of senior data scientists - Perform   metric tracking, performance analysis, and validation checks   with high attention to detail - Support creation of   insight summaries, visualizations, and presentations   for business stakeholders - Maintain and update   code, dashboards, and analytical assets   in Python/SQL environments - Follow best practices for   documentation, QA, and reproducibility - Collaborate with team members to meet project timelines and communicate progress effectively - Engage in continuous learning across   predictive modeling, experimentation, and commercial analytics methods Thrive | What you can expect - Structured learning and hands-on experience in   commercial data science applications - Exposure to   end-to-end analytics delivery across brands and use cases - Mentorship from experienced data scientists and opportunities to grow into   independent contributors - A collaborative environment focused on   learning, impact, and development Basic Qualifications - Bachelor’s or Master’s degree in Data Science, Statistics, Engineering, or a related quantitative field - 3 years of experience in   analytics, data science, or related roles - Working knowledge of   Python and SQL - Strong analytical thinking and problem-solving skills - Attention to detail and ability to deliver   high-quality, accurate work Preferred Qualifications - Exposure to   predictive modeling, experimentation, or statistical analysis - Familiarity with   commercial analytics or marketing performance measurement - Interest in   healthcare, pharma, or life sciences analytics - Experience with tools such as   Jupyter notebooks, Git, or data visualization platforms - Ability to work collaboratively with   cross-functional teams and senior stakeholders - Strong communication skills and willingness to learn in a fast-paced environment .