Sr Data Scientist

Amgen • Los Angeles, CA

7d • $134,168 - $181,522

About The Position

Join Amgen’s Mission of Serving Patients. At Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission—to serve patients living with serious illnesses—drives all that we do. Since 1980, we’ve helped pioneer the world of biotech in our fight against the world’s toughest diseases. With our focus on four therapeutic areas –Oncology, Inflammation, General Medicine, and Rare Disease– we reach millions of patients each year. Amgen is advancing a broad and deep pipeline of medicines to treat cancer, heart disease, inflammatory conditions, rare diseases, and obesity and obesity-related conditions. As a member of the Amgen team, you’ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives. Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you’ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.

Requirements

• 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
• 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

Nice To Haves

• 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

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.

Benefits

• A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts
• 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
• Flexible work models where possible

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed