Associate Data Scientist – Investment Analytics Full-time NEW

Marketing Investment Optimization – Investment Analytics

The Marketing Investment Optimization (MIO) vertical at Amgen is responsible for enabling data-driven, decision-grade marketing investment decisions across brands, channels, and portfolios.

MIO brings together Investment Analytics (IA), Media Analytics (MA), and Marketing Science Operations (MSO) to measure effectiveness, quantify incrementality, and optimize marketing investments.

MIO focuses on marketing mix modelling (MMx), Experimentation and Causal Measurement, Optimization, Media and Campaign analytics, Scenario Planning, ensuring that marketing dollars are allocated to maximize business impact. The team partners closely with Brand Marketing, GCC/Agencies, CD&A, and MSO to translate complex analytics into actionable investment decisions.

The Associate – Investment Analytics role is an entry-level analytics position within the Investment Analytics team. This role is ideal candidates who are excited about applying analytical thinking, structured problem solving, and data skills to real-world business questions.

The team will provide structured learning and on-the-job exposure. What matters most is curiosity, critical thinking, and a strong learning mindset.

As an Associate, you will work under guidance from Senior Associates and Managers to support analytical deliverables and build strong foundations in applied analytics.

You will:

• Develop and apply advanced statistical models that help clients understand dynamic business issues.
• Leverage analytic techniques to use data to guide decision-making.
• Design custom analyses in R, Python and Excel to investigate and inform business needs.
• Assist in preparing analysis summaries, documentation, and presentation materials.
• Collaborate with team members to meet project timelines and quality standards and actively communicate project status updates.
• Engage in ongoing learning to develop industry knowledge, and technical capabilities.

Basic qualifications:

• Bachelor's (3 to 6 Yrs) or master's (2 to 4 Yrs) degree required in any discipline with strong record of academic success in quantitative and analytic coursework such as operations research, applied mathematics, management science, data science, statistics, econometrics or engineering.
• Experience in any analytical, data, or problem-solving role.
• Strong SQL skills and hands-on experience with Python or R.

Preferred qualifications:

• Demonstrated ability to perform structured QA and validation.
• Experience working with time-series and investment data.
• Exposure to Marketing Mix Modelling (MMx) or econometric analysis.
• Experience supporting analytics in pharma, healthcare, or regulated environments.
• Strong communication skills with the ability to collaborate closely with Senior Associates to deliver high-quality analytical outputs.