Sr. Data Scientist - Analytics Applications & Decision Support

Amgen Technology; Hyderabad; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

Amgen Technology invites a Sr. Data Scientist Analytics Applications Decision Support to rapidly prototype, build, and deliver user-facing analytics applications for clinical and commercial supply chain processes.

The role combines data science, front-end analytics development, visualization, cloud tech, API integration, and product delivery. You will translate business needs into intuitive tools, enhancing visibility and decision-making across supply chain operations.

Qualifications

• Hands-on experience with cloud services and well-architected cloud design principles.
• Experience developing dashboards and analytics applications using React, JS/TS, Plotly Dash, Streamlit, Power BI, Tableau.
• Strong Python and SQL skills; familiarity with APIs and data pipelines.
• Ability to translate scientific/analytical requirements into intuitive UX and analytics interfaces.
• Experience applying analytics to supply chain use cases in pharma/life sciences.
• Knowledge of GxP/HIPAA compliance is a plus.

Responsibilities

• Rapid prototyping of analytics apps and decision-support tools.
• Develop dashboards and visual analytics across descriptive to prescriptive analytics.
• Design intuitive front-end interfaces and interactive components for analytics apps.
• Create clear technical documentation: architecture, data flows, APIs, design decisions.
• Troubleshoot and deliver reliable, scalable analytics solutions for supply chain processes.
• Stay updated on cloud capabilities and analytics frameworks to improve value.

Skills

Cloud services

Dashboard development

Python

SQL

React/JS

APIs (REST/GraphQL)

Data visualization

Supply chain concepts

GxP compliance awareness

Tools

React

JavaScript/TypeScript

Posit/Shiny

Plotly Dash

Streamlit

Power BI

Tableau

REST APIs

GraphQL APIs

Job description

ABOUT AMGEN

Amgen harnesses the best of biology and technology to fight the worlds toughest diseases and make peoples lives easier, fuller, and longer. We discover, develop, manufacture, and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting edge of innovation, using technology and human genetic data to push beyond what is known today.

ABOUT THE ROLE

Role Description

Global Supply Chain (GSC) is accountable for orchestrating end-to-end supply chain strategies and operations that ensure reliable, timely delivery of medicines to patients powered by data, innovation, and enterprise-wide collaboration.

As part of our team expansion at Amgen India, Global Supply Chain is seeking a Sr. Data Scientist Analytics Applications Decision Support to rapidly prototype, build, and deliver user-facing analytics applications, interactive decision-support tools, and visual analytics experiences for clinical and commercial supply chain processes.

This role will combine data science, front-end analytics application development, visualization, cloud technologies, API integration, and product-oriented delivery. The ideal candidate is a versatile technical data scientist who can translate business concepts into intuitive working solutions, build interactive user experiences, contribute across front-end and back-end components when needed, and create practical tools that improve supply chain visibility, decision-making, and operational execution.

ROLES RESPONSIBILITIES

Responsibilities will include, but are not limited to:

• Rapid prototyping and analytics application development: Quickly translate business concepts, scientific questions, and product ideas into working prototypes, interactive analytics applications, and user-facing decision-support tools.
• Decision-support and visual analytics delivery: Build a wide range of data and analytics solutions, from descriptive to prescriptive analytics, including dashboards, visual analytics, interactive interfaces, and decision-support tools.
• Front-end analytics application development: Design and build intuitive user interfaces, visual workflows, and interactive components for analytics applications using modern front-end and visualization technologies.
• Technical documentation and solution clarity: Create and maintain clear technical documentation, including solution design, software architecture, data flows, API specifications, implementation details, and key design decisions.
• Technical problem-solving and delivery execution: Identify, troubleshoot, and resolve technical challenges effectively while balancing speed, quality, maintainability, risk, and long-term scalability.
• Technology evaluation and learning agility: Stay current with technology trends, cloud capabilities, analytics application frameworks, visualization tools, front-end technologies, and engineering practices; assess options and make informed technology recommendations based on business value, technical fit, and implementation impact.
• Product and module ownership: Develop a strong understanding of the overall product, its modules, dependencies, data flows, user workflows, and interface touchpoints while serving as a technical expert for assigned components or solution areas.
• Cross-functional collaboration and stakeholder partnership: Work closely with product teams, business teams, architecture teams, technology teams, UX partners, data teams, stakeholders, and subject-matter experts to deliver practical, scientific, user-centered, data-driven solutions aligned with enterprise standards.
• Requirements translation and Agile delivery: Synthesize business, scientific, user experience, and technical inputs into prioritized features, user stories, acceptance criteria, and delivery plans; actively participate in Agile ceremonies, including sprint planning, backlog refinement, estimation, demos, and retrospectives.

FUNCTIONAL SKILLS

Must-Have Skills

• Hands-on experience with cloud services and well-architected cloud design principles, with the ability to evaluate tradeoffs across different cloud solution options.
• Experience developing dashboards, visual analytics, interactive decision-support tools, or user-facing analytics applications using technologies such as React, JavaScript/TypeScript, Posit/Shiny, Plotly Dash, Streamlit, Power BI, Tableau, or similar tools.
• Hands-on experience building analytics applications that include user interfaces, APIs, data pipelines, and integration with structured or unstructured data sources.
• Strong proficiency in Python and SQL, with working knowledge of JavaScript/TypeScript, React, Node.js, REST or GraphQL APIs, and SQL/NoSQL databases.
• Ability to translate business, scientific, and analytical requirements into intuitive user experiences, visual workflows, dashboards, and interactive decision-support interfaces.
• Experience applying analytics, data science, visualization, or decision-support tools to supply chain use cases, with a solid understanding of supply chain management principles and complex business problem-solving.
• Familiarity with pharma or life sciences compliance requirements, including GxP, HIPAA, or related expectations, is a plus.