CD&A Data Scientist, Obesity - Associate

Amgen; Thousand Oaks (CA); Hybrid; USD 81,000 - 110,000; Full time

Benefits offered by this job

Retirement and Savings Plan

Group medical, dental and vision

Life and disability insurance

Flexible spending accounts

Discretionary annual bonus program or,

Sales-based incentive plan

Stock-based long-term incentives

Award-winning time-off plans

Flexible work models where possible

Job summary

Amgen, Commercial Data & Analytics (CD&A), seeks an Associate Data Scientist in Thousand Oaks, CA. The role focuses on building analytical solutions for obesity-related initiatives and supports commercial planning with structured datasets.

The position offers a hybrid work model requiring three days on-site per week and involves forecasting inputs, segmentation, model evaluation, and clear communication of findings to technical and non-technical partners.

Qualifications

• Bachelor's degree or Associate’s degree plus 4 years of relevant experience
• High school diploma/GED plus 6 years of relevant experience
• Experience in data analytics or healthcare analytics is preferred

Responsibilities

• Develop, maintain, and enhance analytical solutions for commercial decision-making, including forecasting inputs and performance analytics
• Use statistical and machine learning techniques on structured datasets
• Perform exploratory data analysis, data preparation, and feature engineering
• Document methods and participate in quality reviews
• Write and maintain SQL queries to extract and analyze data
• Apply Python and/or R for data cleaning, analysis, and model development
• Create dashboards and visualizations using Tableau or Spotfire

Skills

Statistical methods

Machine learning

Data visualization

SQL queries

Python or R

Education

Bachelor's degree

Associate's degree

High school diploma/GED

Tools

SQL

Python

R

Tableau

Spotfire

Databricks

Azure

AWS

Job description

Commercial Data & Analytics (CD&A) at Amgen helps power strategy, performance measurement, and decision-making across the portfolio. In this Associate Data Scientist role, you will build and improve analytical solutions that support commercial planning and insights for obesity-related initiatives. The position is based in Thousand Oaks, CA with a hybrid work model that requires three days on-site per week.

You will work with structured commercial and healthcare datasets, applying statistical and machine learning methods to turn data into actionable outputs. The role emphasizes repeatable workflows, quality review, and clear communication of findings to both technical and non-technical partners.

What you’ll do

• Develop, maintain, and enhance analytical solutions for commercial decision-making, including forecasting inputs, patient and market segmentation, and performance analytics
• Use statistical and machine learning techniques on structured commercial and healthcare datasets
• Perform exploratory data analysis, data preparation, feature engineering, and model evaluation
• Interpret analytical results in the context of business objectives, data quality, and methodological limitations
• Document analytical methods and outputs and participate in quality review
• Write and maintain SQL queries to extract, transform, and analyze data from enterprise sources
• Apply Python and/or R for data cleaning, analysis, and support for analytical model development
• Work in cloud-based analytics environments using curated enterprise data assets
• Support repeatable analytical workflows, code documentation, quality control, and model deployment activities
• Create 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
• Translate business questions from marketing, forecasting, insights, and leadership into defined analytical tasks
• Prepare clear summaries of analytical findings for technical and non-technical audiences
• Support 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
• Follow applicable data governance, compliance, privacy, and documentation standards

Skills and experience needed

• Bachelor’s degree
• OR Associate’s degree plus 4 years of relevant experience
• OR High school diploma/GED plus 6 years of relevant experience

Tools you’ll work with

SQL, Python, R, Tableau, Spotfire, Databricks, Azure, AWS

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, 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

Compensation and benefits

Salary range: USD 81,466 to 110,219 per year.

• Comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions
• Group medical, dental and vision coverage
• Life and disability insurance
• Flexible spending accounts
• Discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan
• Stock-based long-term incentives
• Award-winning time-off plans
• Flexible work models where possible

Additional information

• Sponsorship: Sponsorship for this role is not guaranteed.
• Application deadline: Amgen does not have an application deadline for this position and will continue accepting applications until they receive a sufficient number or select a candidate.