Data Scientist, Obesity & Related Conditions - Senior Associate

Amgen Inc.; Thousand Oaks (CA); On-site; USD 104,000 - 141,000; Full time

Benefits offered by this job

Benefits package

Discretionary annual bonus

Stock-based long-term incentives

Flexible work models

Retirement plan

Job summary

Amgen Inc. is seeking a Data Scientist, Obesity and Related Conditions - Senior Associate in Thousand Oaks to support commercial strategy with advanced analytics.

You will work on forecasting inputs, patient and market segmentation, and performance analytics, applying statistical and machine-learning techniques to large datasets. Based on site three days a week, you will partner with forecasting, insights, and data strategy teams.

Qualifications

• We expect a Master’s degree or a Bachelor’s degree with 2 years of relevant experience, or equivalent.
• Strong collaboration and communication skills in a matrixed organization are essential.
• Proficiency with Python and/or R, SQL, and data visualization tools is preferred.
• Experience with cloud analytics platforms and statistical modeling is desirable.

Responsibilities

• Develop and apply analytics, statistical modeling, and data science techniques to commercial questions.
• Translate analytical outputs into business-relevant insights for commercial strategy.
• Create dashboards and visualizations to support forecasting, segmentation, and performance analytics.
• Collaborate with cross-functional partners within CD&A and related teams.

Skills

Collaboration

Communication

Education

Master's Degree

Bachelor’s degree

Associate’s degree

High school diploma

Tools

Python

R

SQL

Tableau

Spotfire

Databricks

Azure

AWS

Job description

Amgen Inc. is seeking a Data Scientist, Obesity and Related Conditions - Senior Associate in Thousand Oaks to support commercial strategy with advanced analytics.

You will work on forecasting inputs, patient and market segmentation, and performance analytics, applying statistical and machine-learning techniques to large datasets. Based on site three days a week, you will partner with forecasting, insights, and data strategy teams.