This role pays less than
58%
of similar roles. Most pay
$126,800–$191,687
— the shaded band above.
At the midpoint, this role pays about
$158k
versus about
$159k
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
45 open roles
on FindRole.
Listed pay typically runs
$136,906–$185,227
across 43 roles with salary data.
Sr. Data Scientist
As a Sr. Data Scientist, you will join the team to design, build, and deploy scalable data products, analytical models, and cloud-based solutions that improve operational visibility and risk management. You will partner with stakeholders across manufacturing, supply chain, and finance to translate business needs into governed data solutions. Your daily work involves building data pipelines, curated datasets, and visual dashboards to monitor inventory, supplier performance, and procurement activity. The role requires expertise in Python, SQL, and cloud platforms like Databricks, AWS, or Azure. You will integrate structured and unstructured data from enterprise systems such as SAP and MES while applying statistical methods and machine learning for predictive analytics. This position operates within a regulated pharmaceutical manufacturing environment, focusing on solving complex problems related to external supply, contract manufacturing, and large-scale production logistics.
What does a Data Scientist earn in California?
Median $213756 from 69 postings across 25 companies.
Design, build, and maintain data pipelines and curated datasets using Python, SQL, and cloud platforms.
Develop dashboards and visual analytics to monitor manufacturing status, inventory, supply risk, and procurement activity.
Apply statistical methods and data science models to identify patterns and support business decision-making.
Translate complex business requirements from stakeholders into actionable digital and analytical solutions.
Integrate and analyze structured and unstructured data from enterprise systems like ERP and manufacturing platforms.
Automate recurring reports and manual analyses to improve operational efficiency and data accessibility.
Ensure data governance, quality, and documentation standards are met within a regulated pharmaceutical environment.
Communicate technical findings and recommendations clearly to both technical and non-technical audiences.
What we're looking for
A Doctorate degree, or Master’s plus 2 years experience, or Bachelor’s plus 4 years experience, or Associate’s plus 8 years experience, or High School plus 10 years of Data Scientist experience.
Experience in pharmaceutical, biotechnology, life sciences, or regulated manufacturing environments (preferred).
Strong proficiency in Python for data processing, automation, analytics, and model development (preferred).
Strong SQL skills including complex queries, joins, aggregations, and working with large datasets (preferred).
Experience developing dashboards using tools such as Tableau or Power BI (preferred).
Experience with cloud data platforms like Databricks, AWS, Azure, or Google Cloud (preferred).
Experience with data engineering processes, including ETL/ELT pipelines, data modeling, and version control (preferred).
Knowledge of manufacturing, supply chain, finance, or procurement processes (preferred).