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Senior Data Scientist - Full Stack App Development

Pay
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Work setting
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Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

What you’ll work on

Full posting

DDS is seeking a 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.

You will work with global DDS leaders, R&D business partners and IS/DTI teams.

  • Build and maintain React and TypeScript web apps with forms and data visualization

  • Design Python backend services and REST APIs with validation and authorization

  • Build Databricks pipelines with PySpark, Spark SQL and Delta Lake

  • Own application and Databricks pipeline support, logging, monitoring and issue triage

  • Build CI/CD workflows and deploy containerized releases to cloud environments

From the employer’s posting
DDS is seeking a 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. You will translate business requirements into working application features, developing user interfaces, Python backend services, database integrations and Databricks pipelines, and owning delivery through testing, deployment and production support.
You will work with global DDS leaders, R&D business partners and IS/DTI teams. The role requires demonstrated experience delivering production web applications and integrating data, analytical models and automation into practical user workflows.
Build and maintain responsive web applications using React, TypeScript, HTML and CSS
Design and develop Python backend services and REST APIs with clear contracts, input validation, authentication, authorization
Build Databricks pipelines using PySpark, Spark SQL and Delta Lake
Own application and Databricks pipeline support, including logging, monitoring, issue triage and resolution
Build and maintain CI/CD workflows, package applications in containers and deploy releases to cloud environments

What you’ll bring

All qualifications

Core experience

  • Ability to explain applications you shipped, your personal contributions and the technical choices you made.
Qualification wording
· Demonstrated ownership of production web applications across the frontend, backend and database. Ability to explain applications you shipped, your personal contributions and the technical choices you made.
Education & alternatives
Basic qualifications · Master's or Bachelor's degree degree and 7 to 10 years of experience Required technical experience

Benefits in the posting

Full benefits wording
  • Career development resources, an inclusive community and competitive total rewards supporting health, wealth, work/life balance and career growth. Our shared mission is to serve patients through scientific discovery and better R&D decisions.

From the employer’s posting.

Apply at Amgen

Posting record

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Actively hiringFirst seen by us 1 day ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Nov 3, 20261 day ago
Recorded sightings
2
Last seen by us
Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 1

Early. Similar jobs usually come down between day 7 and day 55.

From 9,971 similar postings that came down. Coming down is not always a hire.

Amgen is hiring

196 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Data Scientist hiring is picking up
  • Takes jobs down at a usual pace
  • 3% of open jobs were reposted
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • JavaScript
  • Python
  • SQL
  • TypeScript
  • AWS
  • Databricks
  • Delta Lake
  • PostgreSQL
  • Power BI
  • Spark
  • Tableau
  • Django
  • FastAPI
  • Flask
  • PySpark
  • React
Where the posting names them
· Demonstrated ownership of production web applications across the frontend, backend and database. Ability to explain applications you shipped, your personal contributions and the technical choices you 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.
About the role DDS is seeking a 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. You will translate business requirements into working application features, developing user interfaces, Python backend services, database integrations and Databricks pipelines, and owning delivery through testing, deployment and production support. You will work with global DDS leaders, R&D business partners and IS/DTI teams. The role requires demonstrated experience delivering production web applications and integrating data, analytical models and automation into practical user workflows.
· 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.
· 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.
· 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.
· 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. Monitor the quality and reliability of those integrations.
· 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.
· 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.
· Partner with product owners and R&D users to define requirements, user stories and acceptance criteria. 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.
· 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.
· 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. Diagnose failures across the frontend, backend, database and data jobs, and improve performance and reliability. · Collaborate across geographies with regular working-hour overlap. Follow Amgen SOPs and requirements for data governance, security and privacy, and contribute through technical mentoring and knowledge sharing.
· 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. What we offer

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About the role

We file this job under Data Scientist, by the work the posting describes.

Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.

Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.

Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.

US government figures for data scientists

Median yearly pay, May 2025
$120,230
Expected change, 2025 to 2035
34.6% more jobsagainst 3.5% for all jobs

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.

Job description

View original posting ↗

Career Category

Operations

Job Description

HOW MIGHT YOU DEFY IMAGINATION?

You’ve earned your degree. How will you use that achievement to reach your goals? Do more with the knowledge you’ve worked hard to acquire and the passion you already have. At Amgen, our shared mission—to serve patients—drives all that we do. It is key to our becoming one of the world’s leading biotechnology companies, reaching over 10 million patients worldwide. Become the professional you are meant to be in this meaningful role.


About the role

DDS is seeking a 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. You will translate business requirements into working application features, developing user interfaces, Python backend services, database integrations and Databricks pipelines, and owning delivery through testing, deployment and production support.

You will work with global DDS leaders, R&D business partners and IS/DTI teams. The role requires demonstrated experience delivering production web applications and integrating data, analytical models and automation into practical user workflows.

What you will do

·   Partner with product owners and R&D users to define requirements, user stories and acceptance criteria. 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. 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 for application development and support.

·   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. Diagnose failures across the frontend, backend, database and data jobs, and improve performance and reliability.

·   Collaborate across geographies with regular working-hour overlap. Follow Amgen SOPs and requirements for data governance, security and privacy, and contribute through technical mentoring and knowledge sharing.


What you will bring

Basic qualifications


·  Master's or Bachelor's degree degree and 7 to 10 years of experience


Required technical experience

·   Demonstrated ownership of production web applications across the frontend, backend and database. Ability to explain applications you shipped, your personal contributions and the technical choices you 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.


Preferred experience

·   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.


What we offer

Career development resources, an inclusive community and competitive total rewards supporting health, wealth, work/life balance and career growth. Our shared mission is to serve patients through scientific discovery and better R&D decisions.

Apply at careers.amgen.com.

Amgen is an Equal Opportunity employer and will consider all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. Reasonable accommodations are available throughout the hiring process in accordance with applicable law.

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India - Hyderabad

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