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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Sr Data Scientist - **Company:** Amgen - **Location:** Los Angeles, CA, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Business Analytics Applications, Data Analysis, Big Data, Business Software, Cloud Computing, Cloud Engineering, Continuous Integration, Information Engineering, Extract Transform Load (ETL), Digital Technology, Information Extraction, Python (Programming Language), Knowledge Management, Power BI, Software Tools, SAP (Applications), Software Construction, Software Engineering, SQL Databases, Systems Integration, Tableau (Software), Web Application Frameworks, Workflow Management Systems, Enterprise Data Management, Enterprise Software Applications, Sql Optimization, ReactJS, Retrieval-Augmented Generation, Large Language Models, Generative AI, Backend, Agentic-AI, Git, Integration Frameworks, Tools for Reporting, Front End Software Development, Api Design, Streamlit Framework, Data Pipelines, Databricks - **Published:** October 26, 2026 - **Apply:** https://www.beyondlosangeles.com/job.asp?id=3468033684&tx=ZT1918TYV&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54 ## About the Role * Data Product Development * Enterprise Architecture * AI Solution Delivery * Business Process Improvement * Product Ownership * Scalable Application Design Ability to operate effectively as both a technical contributor and business partner in highly collaborative environments., 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 * Strong Python development experience for applications, automation, AI, and analytics * Advanced SQL and large-scale data processing experience * Experience developing Generative AI and LLM-based applications * Passion for applying AI, analytics, automation, and software engineering to solve business problems * Strong stakeholder management and communication skills * Ability to rapidly prototype and deploy business solutions * Experience balancing technical decisions with business priorities * Experience with Databricks, AWS, and cloud-native architectures * Experience with data pipelines, workflow orchestration, and data quality monitoring, * Experience in pharmaceutical, biotechnology, manufacturing, supply chain, quality, or other regulated environments * Experience with RAG, agentic AI, and knowledge-driven systems * Experience building business applications using modern web frameworks * Experience developing APIs, integrations, and backend services * Experience with Tableau, Power BI, or similar visualization platforms * Knowledge of Git, CI/CD, testing, and software engineering best practices * Experience integrating enterprise systems such as SAP, manufacturing, quality, clinical, or supply chain platforms ## Description Design, develop, and maintain data-driven products and business applications that improve decision-making and operational efficiency., * Automation tools * Dashboards and reporting solutions * Workflow management applications * Decision-support platforms Develop scalable solutions using Python, SQL, cloud technologies, and modern software development frameworks. Generative AI & Intelligent Automation Design and deploy AI-enabled solutions that augment knowledge work and automate business processes. Develop capabilities including * Large Language Model (LLM) applications * Retrieval-Augmented Generation (RAG) * Intelligent document generation * Information extraction * Automated workflow assistance * Knowledge management solutions * Decision-support copilots Identify opportunities where AI can reduce manual effort and accelerate business outcomes. Data Engineering & Platform Development Develop and maintain the foundational services that power analytics and AI solutions. Build and support * Data pipelines * APIs and integrations * Backend services * ETL/ELT workflows * Data quality monitoring solutions * Data processing frameworks Ensure reliable, scalable, and secure delivery of enterprise data products. Enterprise Data Integration Design solutions that integrate information across enterprise systems and business functions. Work with data and processes spanning * Clinical operations * Supply chain * Manufacturing * Enterprise operational platforms Enable seamless access to trusted data across organizational boundaries. Innovation & Technology Exploration Continuously evaluate emerging technologies and identify opportunities to create business value. Explore areas including * Generative AI * Agentic AI * Modern analytics platforms * Cloud-native architectures * Automation technologies * Data engineering tools * Enterprise application frameworks Recommend innovative approaches that improve business outcomes. User Experience & Front-End Solutions Build user-facing applications that make data, analytics, and AI capabilities accessible to business users. Develop interfaces using technologies such as * Streamlit * Dash * React * Other modern web and visualization frameworks Focus on usability, adoption, and business impact. Automation & Operational Excellence Develop solutions that improve organizational efficiency through * Process automation * Workflow standardization * Self-service analytics * Improved data accessibility Measure success through adoption, productivity gains, and operational improvements. Product Delivery & Solution Ownership Support the complete lifecycle of analytical and AI solutions. Participate in * Requirements gathering * Solution architecture * Technical design * Development * Testing and validation * Deployment * Documentation * Ongoing sustainment and support Balance technical excellence with business priorities and delivery timelines. Collaboration & Stakeholder Partnership Partner closely with * Business stakeholders * Product teams * Data engineering teams * Enterprise architects * Digital technology teams * Subject matter experts Translate business challenges into practical technical solutions while aligning with enterprise strategies and standards., * Solution architecture * Technical tradeoffs * AI capabilities and limitations * Project progress * Recommendations and next steps Bridge the gap between business needs and technical implementation. Core Competencies Hands-on experience with: * Python Application Development * SQL and Data Modeling * Generative AI and LLM Applications * Retrieval-Augmented Generation (RAG) * API Development * Data Engineering * Cloud Platforms (AWS, Databricks) * Analytics and Visualization * Workflow Automation