CD&A Data Scientist, Obesity - Associate - Hybrid - Thousand Oaks

Amgen; Thousand Oaks (CA); Hybrid; USD 110,000 - 150,000; Full time

Benefits offered by this job

Hybrid work model

On-site 3 days/week

Job summary

Amgen is seeking an Associate Data Scientist in Commercial Data & Analytics (CD&A) to support analytics across portfolio. The role is based in Thousand Oaks with a hybrid on-site requirement.

You will work on forecasting, segmentation, and performance analytics under senior guidance while developing technical and commercial understanding. The ideal candidate will apply Python/R, SQL, and visualization tools to deliver actionable insights and contribute to dashboards and reports for commercial

Qualifications

• Bachelor's degree or equivalent combination of education and experience.
• Associates degree with 4+ years relevant experience or high school with 6+ years experience.
• Proficiency in Python and/or R.
• Experience with SQL and relational databases.
• Experience with Tableau or Spotfire.
• Familiarity with cloud platforms such as Databricks, Azure, or AWS.
• Foundational understanding of statistical modeling and machine-learning concepts.
• Experience preparing, cleaning, and analyzing data.

Responsibilities

• Develop and maintain analytical solutions for commercial decision-making.
• Apply statistical and machine-learning techniques to datasets.
• Conduct exploratory data analysis and feature engineering.
• Interpret analytical results for business objectives and data quality.
• Document methods and outputs for quality review.
• Collaborate with cross-functional partners to deliver insights.

Skills

Analytical thinking

Communication

Problem solving

Education

Bachelor's degree

Associate's degree + 4 years experience

High school diploma/GED + 6 years experience

Tools

SQL

Python

R

Tableau

Spotfire

Databricks

Azure

AWS

Job description

Career Category

Sales & Marketing Operations

Job Description

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. Amgen is advancing a broad and deep pipeline of medicines to treat cancer, heart disease, inflammatory conditions, rare diseases, and obesity and obesity-related conditions. 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.

CD&A Data Scientist, Obesity - Associate - Hybrid

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.

What you will do

Commercial Analytics & Data Science

• 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

Data & Technical Execution

• 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

Business Partnership

• 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

Ways of Working

• 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

What We Expect of You

We are all different, yet we all use our unique contributions to serve patients. The motivated professional we seek is someone with these qualifications.

Basic Qualifications

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

Preferred Qualifications

• 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, clea