CD&A Data Scientist, Obesity - Associate

Amgen•Thousand Oaks, CA

2d•Hybrid

About The Position

This role requires three days a week on-site. The Data Scientist – Associate 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 will contribute to analytical projects that address commercial business questions and work closely with cross-functional partners to help deliver actionable insights. This position is designed for an early-career data scientist who is eager to develop their technical capabilities, commercial understanding, and ability to communicate analytical findings. The successful candidate will work under the guidance of more experienced team members while taking ownership of clearly defined analyses and deliverables. The role does not have direct reports.

Requirements

Bachelor's degree OR Associate's degree and 4 years of relevant experience, OR High school diploma/GED and 6 years of relevant experience

Nice To Haves

Working proficiency in Python and/or R
Experience using SQL and relational databases
Experience with Tableau, Spotfire, or a similar data visualization tool
Familiarity with cloud analytics platforms such as Databricks, Azure, or AWS
Foundational understanding of statistical modeling and machine-learning concepts
Experience preparing, cleaning, and analyzing large or complex datasets
Ability to summarize analytical findings clearly and connect them to business questions
Experience in pharmaceutical, biotechnology, healthcare, or commercial analytics is preferred
Strong attention to detail, curiosity, and willingness to learn
Effective collaboration and communication skills in a matrixed organization

Responsibilities

Support the development, maintenance, and enhancement of analytical solutions used in commercial decision-making, including forecasting inputs, patient and market segmentation, and performance analytics
Apply statistical and machine-learning techniques to structured commercial and healthcare datasets
Conduct exploratory data analysis, data preparation, feature engineering, and model evaluation
Assist with interpreting analytical results in the context of business objectives, data quality, and methodological limitations
Contribute to the documentation and quality review of analytical methods and outputs
Write and maintain SQL queries to extract, transform, and analyze data from enterprise data sources
Use Python and/or R to clean data, conduct analyses, and support the development of analytical models
Work within cloud-based analytics environments and use curated enterprise data assets
Support repeatable analytical workflows, code documentation, quality control, and model deployment activities
Develop dashboards, reports, and visualizations using tools such as Tableau or Spotfire
Troubleshoot data and analytical issues with support from senior team members and technology partners
Assist in translating business questions from marketing, forecasting, insights, and leadership teams into defined analytical tasks
Prepare clear summaries of analytical findings for technical and non-technical audiences
Support ongoing commercial reviews, planning activities, and ad hoc analyses
Collaborate with forecasting, insights, data strategy, and technology partners within CD&A
Build knowledge of the obesity market, Amgen’s commercial business, and the healthcare environment
Manage assigned analytical tasks and timelines in a fast-paced commercial environment
Apply structured problem-solving and attention to detail when completing analyses
Seek guidance when business requirements, data, or analytical results are unclear
Incorporate feedback from team members and business partners to improve analytical outputs
Follow applicable data governance, compliance, privacy, and documentation standards