Sr Data Scientist

Amgen; United States; Remoto; USD 134.000 - 182.000; Tempo pieno

Descrizione del lavoro

Amgen is seeking a Sr Data Scientist in the United States to transform data into actionable insights, powering AI-enabled analytics and automated processes across the business.

You will design, build, and maintain data-driven products and applications using Python, SQL, cloud platforms, and modern frameworks, driving scalable data pipelines and decision support for multiple stakeholders.

Competenze

• Doctorate or Master’s with 2 years Data Scientist experience OR Bachelor’s with 4 years Data Scientist experience OR Associate’s with 8 years 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
• Experience with Databricks, AWS and cloud-native architectures
• Experience with data pipelines, workflow orchestration, and data quality monitoring

Mansioni

• Design, develop, and maintain data-driven products and business applications that improve decision-making and operational efficiency.
• Develop Generative AI-enabled solutions and intelligent automation across enterprise processes.
• Build scalable data pipelines, APIs, and integrations to support analytics and AI.
• Collaborate with business stakeholders, product teams, and data engineering to deliver end-to-end solutions.
• Ensure data quality, governance, and secure delivery of enterprise data products.

Conoscenze

Python

SQL

Data Modeling

Generative AI

LLM Applications

API Development

Data Engineering

Cloud Platforms (AWS)

Databricks

Analytics & Visualization

Workflow Automation

Enterprise Architecture

Product Ownership

Formazione

Doctorate degree

Master’s degree

Bachelor’s degree

Associate’s degree

High school diploma

Strumenti

Databricks

AWS

Streamlit

Dash

React

Tableau

Power BI

Descrizione del lavoro

Career Category Operations Job Description 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.

Sr Data Scientist

What you will do Let’s do this. Let’s change the world. In this vital role you will transform the lives of patients while transforming your career.

Data Products & Application Development

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.

Generative AI & Intelligent Automation

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.

Data Engineering & Platform Development

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.

Enterprise Data Integration

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.

Innovation & Technology Exploration

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.

User Experience & Front-End Solutions

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.

Automation & Operational Excellence

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.

Product Delivery & Solution Ownership

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.

Collaboration & Stakeholder Partnership

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.

Communication & Business Translation

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.

Core Competencies

Hands-on experience with: Python Application Development SQL and Data Modeling Generative AI and LLM Applications Retrieval-Augmented Generation (RAG) API Development Data Engineering Cloud Platforms (AWS, Databricks) Analytics and Visualization Workflow Automation Strong understanding of: Data Product Development Enterprise Architecture AI Solution Delivery Business Process Improvement Product Ownership Scalable Application Design Ability to operate effectively as both a technical contributor and business partner in highly collaborative environments.

What we expect of you

Basic Qualifications: 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 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 Preferred Qualifications: 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.

What you can expect from us

The expected annual salary range for this role in the U.S. (excluding Puerto Rico) is posted. Actual salary will vary based on several factors including but not limited to, relevant skills, experience, and qualifications. In addition to the base salary, Amgen offers a Total Rewards Plan, based on eligibility, comprising of health and welfare plans for staff and eligible dependents, financial plans with opportunities to save towards retirement or other goals, work/life balance, and career development opportunities that may include: 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. Refer to the Work Location Type in the job posting to see if this applies. Salary Range 134,168.25USD -181,521.75 USD

Sponsorship

Sponsorship Sponsorship for this role is not guaranteed.

Equal Opportunity & Diversity

Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease. Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.