Senior Associate CD&A Data Scientist, Obesity

Amgen

Confirmed live today High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Thousand Oaks, CA
Salary
$103,852–$140,505 / yr
Employment
Full-time
Posted
2 days ago
Freshness
Confirmed live today

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $164k
This role $122k
$92k most similar roles pay here $216k

This role pays less than 90% of similar roles. Most pay $131,817–$197,000 — the shaded band above. At the midpoint, this role pays about $122k versus about $164k for comparable roles.

Based on 240 similar postings.

Employer

About Amgen

Amgen is a leading biotechnology company that discovers, develops, manufactures, and delivers innovative human therapeutics, with products addressing conditions such as anemia, bone loss, inflammation, and cancer. Industry: Biotechnology & Pharmaceuticals

Amgen currently has 60 open roles on FindRole.

Listed pay typically runs $136,906–$185,227 across 49 roles with salary data.

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View all roles at Amgen

At a glance

TL;DR · Senior Associate CD&A Data Scientist, Obesity

CD&A Data Scientist, Obesity - Senior Associate serves as a hands-on analytics role within the Commercial Data & Analytics team to support commercial strategy, performance measurement, and decision-making for the obesity portfolio. The individual will develop and maintain analytical solutions for forecasting inputs, patient and market segmentation, and performance analytics. Key responsibilities include applying statistical modeling and machine learning techniques to complex datasets, performing exploratory data analysis, and creating visualizations. The role requires technical proficiency in SQL, Python or R, and tools such as Tableau or Spotfire within cloud-based environments like Databricks, Azure, or AWS. This position focuses on translating complex analytical outputs into actionable business insights for marketing and leadership teams while ensuring adherence to data governance standards within the pharmaceutical and biotechnology sector to solve critical commercial business questions.

What you'll do

  • Develop and maintain data science solutions for forecasting, market segmentation, and performance analytics.
  • Apply statistical modeling and machine learning techniques to large, complex commercial datasets.
  • Perform exploratory data analysis, feature engineering, and model validation.
  • Write and optimize SQL queries to extract and transform data from enterprise sources.
  • Create dashboards and visualizations using tools like Tableau or Spotfire.
  • Translate business questions from marketing and leadership into actionable analytical approaches.
  • Communicate complex technical findings clearly to both technical and non-technical audiences.
  • Ensure all analytics adhere to data governance, compliance, and documentation standards.

What we're looking for

  • A Master's degree, or a Bachelor's degree and 2 years of experience, or an Associate's degree and 6 years of experience, or a high school diploma and 8 years of experience.
  • Proficiency in Python and/or R (preferred).
  • Strong experience with SQL and relational databases (preferred).
  • Experience with Tableau, Spotfire, or similar visualization tools (preferred).
  • Familiarity with cloud analytics platforms such as Databricks, Azure, or AWS (preferred).
  • Understanding of statistical modeling and machine-learning concepts (preferred).
  • Ability to synthesize complex analyses into clear, business-focused insights (preferred).
  • Experience in pharmaceutical, biotech, healthcare, or commercial analytics (preferred).

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