Sr Data Scientist - Full Stack App Development

Overview

Hands-on Senior Data Scientist with strong full stack development and Databricks experience to build and operate data and analytics applications for global R&D users at Amgen's DDS group.

What you'll do

• Partner with product owners and R&D users to define requirements, user stories and acceptance criteria, and break business problems into application features with clear delivery priorities.
• Build and maintain responsive web applications using React, TypeScript, HTML and CSS, including forms, state management, API integration and interactive data visualization.
• Design and develop Python backend services and REST APIs with clear contracts, input validation, authentication, authorization and consistent error handling.
• Design relational data models and integrate application data with enterprise sources; write efficient SQL, manage schema migrations and troubleshoot database performance.
• Build Databricks pipelines using PySpark, Spark SQL and Delta Lake; schedule and monitor jobs, manage governed data access, and connect pipeline outputs to applications through APIs or SQL endpoints.
• Integrate analytical models, data pipelines and AI/ML capabilities into applications where they address a defined business need, and monitor the quality and reliability of those integrations.
• Write automated unit, API integration and critical user workflow tests, participate in code reviews and maintain technical documentation.
• Build and maintain CI/CD workflows, package applications in containers and deploy releases to cloud environments in partnership with IS/DTI; manage configuration and release changes.
• Own application and Databricks pipeline support, including logging, monitoring, issue triage and resolution, and improve performance and reliability.
• Collaborate across geographies with regular working-hour overlap, follow Amgen SOPs for data governance, security and privacy, and contribute through technical mentoring and knowledge sharing.

What you'll need

• Master's or Bachelor's degree and 7 to 10 years of experience.
• Demonstrated ownership of production web applications across the frontend, backend and database, with the ability to explain applications shipped, personal contributions and technical choices made.
• Strong hands-on experience with React, TypeScript or JavaScript, HTML and CSS, including responsive and accessible interfaces, state management and integration with backend APIs.
• Hands-on Python backend development and REST API design using FastAPI, Django, Flask or an equivalent framework, including access control, validation and error handling.
• Strong SQL and relational database skills using PostgreSQL or a comparable platform, including data modelling, query optimization, transactions and schema migrations.
• Hands-on Databricks experience with PySpark, Spark SQL and Delta Lake, including developing, scheduling, monitoring and troubleshooting production data pipelines and jobs.
• Experience with Git, pull requests, code reviews, automated testing and CI/CD pipelines, with practical ownership of releases and defect resolution.
• Experience deploying and supporting cloud applications on AWS or a comparable platform, including containers, environment configuration, secrets management, logging and monitoring.
• Ability to integrate data pipelines and analytical outputs into usable application workflows, communicate with non-technical stakeholders and deliver independently in a distributed team.

Nice to have

• 6+ years delivering enterprise software, data applications or analytics products, with recent hands-on full stack development.
• Experience integrating statistical, predictive, AI/ML or GenAI capabilities into production applications.
• Experience in pharma, biotech or another regulated industry, working with global stakeholders and supporting governed data.
• Experience with Power BI, Tableau, Spotfire, Shiny or Dash to complement application development and meet reporting or analytical needs.

Details

• Location: India - Hyderabad.
• Collaboration across geographies with regular working-hour overlap.