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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist - **Company:** Amgen - **Location:** Thousand Oaks, CA, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Amazon Web Services, Data Analysis, Microsoft Azure, Big Data, Cloud Database, Data Architecture, Data Cleansing, Information Engineering, Data Governance, Data Integration, Data Integrity, Extract Transform Load (ETL), Data Transformation, Data Systems, Database Queries, Python (Programming Language), Laboratory Information Management Systems, Machine Learning, Power BI, Cloud Services, SAP (Applications), SQL Databases, Tableau (Software), Unstructured Data, Visual Analytics, Data Processing, Google Cloud, Enterprise Software Applications, Cloud Platform System, Information Technology, Data Lineage, Operational Systems, Data Management, Software Coding, Veeva, Software Version Control, Data Pipelines, Databricks - **Published:** September 4, 2026 - **Apply:** https://www.biospace.com/logon?PipelinedPage=%2Fjob%2F3072386%2Fdata-scientist%3FAction%3DContinueJobApplication%23application-form ## About the Role Masters degree OR Bachelors degree and 2 years of Data Scientist OR Associates degree and 6 years of Data Scientist experience OR High school diploma / GED and 8 years of Data Scientist experience, * 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. ## Description Lets do this. Lets 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. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Data Analytics with Microsoft Fabric: End-to-End Use Case with Data Agents](https://www.wearedevelopers.com/videos/1547-data-analytics-with-microsoft-fabric-end-to-end-use-case-with-data-agents) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Geometric deep learning for drug discovery](https://www.wearedevelopers.com/videos/264-geometric-deep-learning-for-drug-discovery) ## Related Articles - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Analyst Salary Germany](https://www.wearedevelopers.com/magazine/277-data-analyst-salary-germany) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Data Analyst Salary in Switzerland](https://www.wearedevelopers.com/magazine/276-data-analyst-salary-in-switzerland)