Sr Data Scientist

Amgen SA; Thousand Oaks (CA); On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

Stock-based long-term incentives

Retirement and Savings Plan

Flexible work models

Job summary

Amgen in Thousand Oaks, CA seeks a Sr Data Scientist to design, build, and deploy scalable data products, dashboards, and analytical models that boost operational visibility and decision-making across External Supply and manufacturing networks.

You will partner with cross‑functional teams, develop data pipelines in Python/SQL on cloud platforms, ensure data governance, and translate complex business needs into practical digital solutions in a regulated pharma environment.

Qualifications

• Doctorate degree
• Master’s degree and 2 years of Data Scientist experience
• Bachelor’s degree and 4 years of Data Scientist experience
• Associate’s degree and 8 years of Data Scientist experience
• High school diploma / GED and 10 years of Data Scientist experience
• Experience in pharmaceutical, biotechnology, life sciences, or regulated manufacturing environments.
• Strong proficiency in Python for data processing, automation, analytics, and model development.
• Strong SQL skills, including complex queries, joins, aggregations, data transformation, and working with large datasets.
• Experience developing dashboards or visual analytics using tools such as Tableau, Power BI, or similar platforms.
• Experience with cloud databases or cloud data platforms such as Databricks, AWS, Azure, Google Cloud, or similar technologies.
• Experience with data engineering processes, including ETL/ELT pipelines, data modeling, data integration, data quality, orchestration, and version control.
• Experience designing scalable data models, reusable analytical datasets, and governed reporting layers.
• Experience with cloud data platforms, data lake architectures, APIs, workflow orchestration tools, Git, and CI/CD concepts.
• Ability to work cross-functionally with business stakeholders and technical teams to translate business requirements into analytical and digital solutions.
• Knowledge of External Supply, contract manufacturing, pharmaceutical manufacturing, GMP operations, supplier management, material planning, or logistics processes.
• Experience working with enterprise operation systems such as SAP, MES, LIMS, Veeva, procurement platforms, or external partner data sources.
• Experience developing predictive analytics, forecasting models, optimization models, anomaly detection, machine learning solutions, or advanced statistical analyses.
• Strong understanding of data governance, master data management, data lineage, documentation, and data quality practices.
• Demonstrated ability to manage ambiguity, structure complex business problems, and deliver practical analytical solutions.
• Strong communication, storytelling, and stakeholder engagement skills, with the ability to explain complex technical concepts to business audiences.
• Ability to manage multiple priorities, work independently, and deliver high-quality results in a fast-paced, cross-functional environment.
• Strong commitment to data integrity, compliance, scalability, and continuous improvement.

Responsibilities

• Design, build, and maintain data pipelines, curated datasets, analytical data products, and reporting layers using Python, SQL, and cloud-based data platforms.
• Develop dashboards and visual analytics to monitor External Supply performance, manufacturing status, inventory, supply risk, supplier performance, procurement activity, and operational trends.
• Apply statistical, analytical, and data science methods to identify patterns, generate insights, support scenario analysis, and improve business decision-making.
• Partner with External Supply business stakeholders to define requirements, clarify business problems, identify data sources, and deliver fit-for-purpose digital and analytical solutions.
• Integrate and analyze structured and non-structured data from enterprise systems, including ERP, supply planning, procurement, manufacturing, quality, finance, and external partner data sources.
• Automate recurring reports and manual analyses to improve efficiency, consistency, and data accessibility.
• Collaborate with information technology and business teams to design scalable, maintainable, and reusable data architecture.
• Support data governance, data quality, documentation, and validation practices for analytics used in a regulated pharmaceutical environment.
• Communicate analytical findings, technical recommendations, and business insights clearly to technical and non-technical audiences.
• Promote best practices for code development, dashboard design, data management, analytics lifecycle management, and digital product sustainability.

Skills

Python

SQL

Dashboards

Cloud data platforms

Data governance

Education

Doctorate degree

Master’s degree

Bachelor’s degree

Associate’s degree

High school diploma / GED

Tools

Databricks

AWS

Azure

Google Cloud

Tableau/Power BI

Job description

Sr Data Scientist

What you will do

Let’sdo this.Let’schange the world. In thisroleyou will design, build, and deploy scalable data products, dashboards, analytical models, and cloud-based data solutions that improve operational visibility, risk management, supplier performance monitoring, and business decision-making. This role will partner with External Supply stakeholders, internal manufacturing sites, contract manufacturing organizations, Supply Chain, Quality, Finance, and central information technology teams to translate business needs into trusted, actionable, and governed data solutions.

The successful candidate will bring strong technical expertise in advanced analytics, data engineering, cloud data platforms, and data governance, along with working knowledge of pharmaceutical manufacturing, external supply, supply chain, finance, and procurement processes.

Responsibilities Include:

• Design, build, and maintain data pipelines, curated datasets, analytical data products, and reporting layers using Python, SQL, and cloud-based data platforms.
• Develop dashboards and visual analytics to monitor External Supply performance, manufacturing status, inventory, supply risk, supplier performance, procurement activity, and operational trends.
• Apply statistical, analytical, and data science methods to identify patterns, generate insights, support scenario analysis, and improve business decision-making.
• Partner with External Supply business stakeholders to define requirements, clarify business problems, identify data sources, and deliver fit-for-purpose digital and analytical solutions.
• Integrate and analyze structured and non-structured data from enterprise systems, including ERP, supply planning, procurement, manufacturing, quality, finance, and external partner data sources.
• Automate recurring reports and manual analyses to improve efficiency, consistency, and data accessibility.
• Collaborate with information technology and business teams to design scalable, maintainable, and reusable data architecture.
• Support data governance, data quality, documentation, and validation practices for analytics used in a regulated pharmaceutical environment.
• Communicate analytical findings, technical recommendations, and business insights clearly to technical and non-technical audiences.
• Promote best practices for code development, dashboard design, data management, analytics lifecycle management, and digital product sustainability.

What we expect of you

Wearealldifferent,yetwealluseouruniquecontributionstoservepatients.The Sr Data Scientist professional weseekis a collaborative partner with these qualifications.

Basic Qualifications:

• Doctorate degree
• Master’s degree and 2 years of Data Scientist experience
• Bachelor’s degree and 4 years of Data Scientist experience
• Associate’s degree and 8 years of Data Scientist experience
• High school diploma / GED and 10 years of Data Scientist experience

Preferred Qualifications:

• Experience in pharmaceutical, biotechnology, life sciences, or regulated manufacturing environments.
• Strong proficiency in Python for data processing, automation, analytics, and model development.
• Strong SQL skills, including complex queries, joins, aggregations, data transformation, and working with large datasets.
• Experience developing dashboards or visual analytics using tools such as Tableau, Power BI, or similar platforms.
• Experience with cloud databases or cloud data platforms such as Databricks, AWS, Azure, Google Cloud, or similar technologies.
• Experience with data engineering processes, including ETL/ELT pipelines, data modeling, data integration, data quality, orchestration, and version control.
• Experience designing scalable data models, reusable analytical datasets, and governed reporting layers.
• Experience with cloud data platforms, data lake architectures, APIs, workflow orchestration tools, Git, and CI/CD concepts.
• Ability to work cross-functionally with business stakeholders and technical teams to translate business requirements into analytical and digital solutions.
• Knowledge of External Supply, contract manufacturing, pharmaceutical manufacturing, GMP operations, supplier management, material planning, or logistics processes.
• Experience working with enterprise operation systems such as SAP, MES, LIMS, Veeva, procurement platforms, or external partner data sources.
• Experience developing predictive analytics, forecasting models, optimization models, anomaly detection, machine learning solutions, or advanced statistical analyses.
• Strong understanding of data governance, master data management, data lineage, documentation, and data quality practices.
• Demonstrated ability to manage ambiguity, structure complex business problems, and deliver practical analytical solutions.
• Strong communication, storytelling, and stakeholder engagement skills, with the ability to explain complex technical concepts to business audiences.
• Ability to manage multiple priorities, work independently, and deliver high-quality results in a fast-paced, cross-functional environment.
• Strong commitment to data integrity, compliance, scalability, and continuous improvement.

What you can expect of us

As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way.

The expected annual salary range for this role in the U.S. (excluding Puerto Rico) is posted. Actual salary will vary based on several factors including but not limited to, relevant skills, experience, and qualifications.

In addition to the base salary, Amgen offers a Total Rewards Plan, based on eligibility, comprising of health and welfare plans for staff and eligible dependents, financial plans with opportunities to save towards retirement or other goals, work/life balance, and career development opportunities that may include:

• A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts
• A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan
• Stock-based long-term incentives
• Award-winning time-off plans
• Flexible work models where possible. Refer to the Work Location Type in the job posting to see if this applies.

Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.