Sr. Data Scientist

Amgen Australia Pty Ltd

Base: not specified; bonus/equity: discretionary a...
Fully remote
Advanced analytics and machine learning expertise
Python, r, and sql programming proficiency
Dashboard design with tableau or power bi
Amgen Australia Pty Ltd is seeking a Senior Data Scientist to support manufacturing operations through advanced analytics and data visualization tools. The role focuses on enhancing production efficiency and decision-making while fostering a collaborative and innovative culture within a leading biotechnology company

Job Summary

  • This role supports Amgen's mission to serve patients by enabling data-driven operations through advanced analytics and digital solutions within a regulated manufacturing environment.
  • The successful candidate will partner with manufacturing teams to design tools that improve production planning, operational visibility, and decision-making while ensuring compliance with GxP and 21 CFR Part 11.
  • Amgen offers a comprehensive Total Rewards Plan including health coverage, retirement savings, stock-based incentives, and flexible work models to support professional growth.

Matching Summary

Match Score: 85

Amgen Australia Pty Ltd is seeking a Senior Data Scientist to support manufacturing operations through advanced analytics and data visualization tools. The role focuses on enhancing production efficiency and decision-making while fostering a collaborative and innovative culture within a leading biotechnology company.

Salary

Base: Not specified; Bonus/Equity: Discretionary annual bonus program and stock-based long-term incentives; Benefits: Comprehensive health, dental, vision, retirement plan, and flexible work arrangements

Skills & Requirements

Must-have

  • Advanced analytics and machine learning expertise
  • Python, R, and SQL programming proficiency
  • Dashboard design with Tableau or Power BI
  • Experience in GMP regulated manufacturing environments
  • Production scheduling and optimization modeling

Nice-to-have

  • Familiarity with Industry 4.0 technologies like IoT
  • Experience deploying analytics in SAP or MES systems
  • Knowledge of cloud platforms such as AWS or Azure
  • Strong communication skills for non-technical stakeholders
  • Exposure to time series analysis and anomaly detection

Key Requirements

  • Doctorate OR Master's degree with 2 years experience
  • Bachelor's degree with 4 years combined Data Science/GMP experience
  • Associate's degree with 8 years combined Data Science/GMP experience
  • High school diploma with 10 years combined Data Science/GMP experience

Work Rights

Not specified

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