Obesity CD&A Data Scientist - Hybrid (3 days on-site)

Amgen; Thousand Oaks (CA); Híbrido; USD 81.000 - 110.000; Tempo integral

Benefícios oferecidos por esta vaga

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

Resumo da vaga

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.

Qualificações

• 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

Responsabilidades

• 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

Conhecimentos

Statistical methods

Machine learning

Data visualization

SQL queries

Python or R

Formação

Bachelor's degree

Associate's degree

High school diploma/GED

Ferramentas

SQL

Python

R

Tableau

Spotfire

Databricks

Azure

AWS

Descrição da vaga

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.