Cdna_data Science Manager – Investment Analytics

Career Category Sales & Marketing Operations 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. It is key to our becoming one of the world's leading biotechnology companies. We are global collaborators who achieve together—researching, manufacturing, and delivering ever-better products that reach over 10 million patients worldwide. It's time for a career you can be proud of. Live | What you will do Lead the design and execution of marketing mix models (MMM) to evaluate brand promotional effectiveness and inform investment decisions. Analyze trends across channels and campaigns to provide guidance on resource allocation and return on marketing investments. Translate complex model outputs into actionable insights and business recommendations through compelling visual and narrative storytelling. Build dashboards, PowerPoint summaries, and talking points for brand leadership and US-based commercial stakeholders. Collaborate with US brand teams, marketing, finance, and vendor partners to align on inputs, assumptions, and interpretation of results. Work hands-on in Databricks using Python / PySpark and SQL to clean, transform, and model large marketing and sales datasets. Mentor junior analysts in marketing measurement and coding best practices as needed. Thrive | What you can expect As we work to develop treatments that take care of others, we also work to care for our teammates' professional and personal growth and well-being. Basic Qualifications Master's degree (or Bachelor's with equivalent experience) in Economics, Data Science, Applied Statistics, or related field. 5–7 years of experience in analytics, with direct experience building or applying MMM in a pharma or healthcare context. Strong Python and SQL skills with experience using Databricks or equivalent cloud-based environments. Excellent communication and presentation skills, with ability to influence commercial decision-makers. Demonstrated ability to translate technical analyses into business-friendly insights. Preferred Qualifications Exposure to media measurement, marketing channel optimization, or omnichannel campaign analysis. Experience collaborating with cross-functional teams across marketing, finance, and vendors. Familiarity with causal inference methods or simulation techniques. Strong business acumen and comfort presenting to senior stakeholders in commercial or brand leadership. .