Note: The job is a remote job and is open to candidates in USA. Amgen is a leading biotechnology company dedicated to serving patients with serious illnesses. The Sr. Data Scientist will design and deploy data products and analytical models to enhance operational visibility and decision-making, collaborating with various stakeholders to ensure actionable data solutions.
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
- Doctorate degree
- OR Master's degree and 2 years of Data Scientist experience
- OR Bachelor's degree and 4 years of Data Scientist experience
- OR Associate's degree and 8 years of Data Scientist experience
- OR 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
Benefits
- 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.
Company Overview
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