Note: The job is a remote job and is open to candidates in USA. Amgen is hiring a Senior Data Scientist to build and sustain data products, business applications, and AI-enabled solutions that improve decision-making and operational efficiency. The role also develops data platforms and integrations, automates workflows, and partners with business and technical teams to deliver solutions from requirements through ongoing support.
Responsibilities
- Design, develop, and maintain data-driven products and business applications that improve decision-making and operational efficiency
- Build solutions including:
- Data products
- Business applications
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- Communicate technical concepts and project outcomes to diverse audiences
- Clearly articulate:
- Business value
- Solution architecture
- Technical tradeoffs
- AI capabilities and limitations
- Project progress
- Recommendations and next steps
- Bridge the gap between business needs and technical implementation
Skills
- Doctorate degree
- Master's degree and 2 years of Data Scientist experience
- Bachelor's degree and 4 years of Data Scientist experience
- Associate's degree and 8 years of Data Scientist experience
- 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
Benefits
- Health and welfare plans for staff and eligible dependents, including group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts
- Retirement and Savings Plan with generous company contributions
- Financial plans with opportunities to save towards retirement or other goals
- A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan
- Stock-based long-term incentives
- Award-winning time-off plans
- Career development opportunities
- Flexible work models where possible; see the Work Location Type in the job posting to determine whether this applies
- Remote work (Work Location Type: Remote)
Company Overview