Career CategoryOperations
Job DescriptionData ScientistWhat you will doLet's do this. Let's change the world. In this vital role you will join the Digital Strategy and Data Management team. This role will support digital transformation and data-driven decision-making across External Supply, Supply Chain, Quality, Finance, and external partner operations.
The Data Scientist will develop and maintain data products, dashboards, analytical models, and cloud-based data solutions that improve operational visibility, supplier performance monitoring, risk management, and business decision-making. The role will work closely with External Supply stakeholders, internal manufacturing sites, contract manufacturing organizations, Supply Chain, Quality, Finance, and information technology teams to translate business needs into trusted, actionable, and governed data solutions.
The successful candidate will bring strong technical capabilities in analytics, data engineering, visualization, and cloud data platforms, with an interest in pharmaceutical manufacturing, external supply, supply chain, finance, and procurement processes.
- Develop, maintain, and enhance data pipelines, curated datasets, analytical data products, and reporting layers using Python, SQL, and cloud-based data platforms.
- Build dashboards and visual analytics to monitor External Supply performance, manufacturing status, inventory, supply risk, supplier performance, procurement activity, and operational trends.
- Apply statistical and analytical methods to identify patterns, generate insights, support scenario analysis, and improve business decision-making.
- Partner with business stakeholders and senior team members to gather requirements, clarify business problems, identify data sources, and deliver fit-for-purpose analytical solutions.
- Integrate and analyze structured and unstructured data from enterprise systems, including ERP, supply planning, procurement, manufacturing, quality, finance, and external partner data sources.
- Automate recurring reports, data preparation activities, and manual analyses to improve efficiency, consistency, and accessibility.
- Support the design and implementation of scalable, maintainable, and reusable data models and data architecture.
- Support data governance, data quality, documentation, validation, and data lineage practices for analytics used in a regulated pharmaceutical environment.
- Communicate analytical findings, technical recommendations, and business insights clearly to technical and non-technical audiences.
- Follow best practices for code development, dashboard design, data management, analytics lifecycle management, and solution sustainability.
What we expect of youWe are all different, yet we all use our unique contributions to serve patients. The dynamic professional we seek is an individual with these qualifications.
Basic Qualifications:Master's degree
OR
Bachelor's degree and 2 years of Data Scientist
OR
Associate's degree and 6 years of Data Scientist experience
OR
High school diploma / GED and 8 years of Data Scientist experience
Preferred Qualifications:- Experience in pharmaceutical, biotechnology, life sciences, regulated manufacturing, or another complex operational environment.
- Proficiency in Python for data processing, automation, analytics, and model development.
- Strong SQL skills, including queries, joins, aggregations, data transformation, and working with large datasets.
- Experience developing dashboards or visual analytics using 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.
- Ability to work cross-functionally with business stakeholders and technical teams to translate business requirements into analytical solutions.
- Knowledge of External Supply, contract manufacturing, pharmaceutical manufacturing, GMP operations, supplier management, material planning, logistics, finance, or procurement processes.
- Experience working with enterprise operational systems such as SAP, MES, LIMS, Veeva, procurement platforms, or external partner data sources.
- Experience developing forecasting models, predictive analytics, anomaly detection, optimization models, machine learning solutions, or advanced statistical analyses.
- Understanding of data governance, master data management, data lineage, documentation, and data quality practices.
- Ability to structure complex business questions and develop practical analytical solutions with guidance from senior team members.
- Strong communication and storytelling skills, with the ability to explain technical concepts to business audiences.
- Ability to manage multiple priorities 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 usAs 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.
Apply now and make a lasting impact with the Amgen team.careers.amgen.comIn any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.
Application deadlineAmgen does not have an application deadline for this position; we will continue accepting applications until we receive a sufficient number or select a candidate for the position.
SponsorshipSponsorship for this role is not guaranteed.
