Data Scientist

At Amgen if you feel like youre part of something bigger its because you are. Our shared missionto serve patients living with serious illnessesdrives all that we do.

Since 1980 weve helped pioneer the world of biotech in our fight against the worlds toughest diseases. Amgen is advancing a broad and deep pipeline and portfolio of medicines to treat heart disease obesity and obesity-related conditions rare diseases inflammatory conditions and cancer. As a member of the Amgen team youll 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 youll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.

Data Scientist

Lets do this. Lets change the this vital role you will serve as a core data science expert and AI-enabled capabilities within Amgens Global Supply Chain Data & Analytics team. The role will focus primarily on designing developing evaluating deploying and continuously improving AI assistants agentic AI capabilities and advanced analytics solutions supporting the analytics ecosystem. This individual will partner with product owners business stakeholders data engineers software engineers architects and delivery partners to translate complex supply chain problems into secure scalable and reliable solutions that improve user productivity and business decision-making. The ideal candidate combines hands-on data science and GenAI expertise business understanding stakeholder communication and experience operationalizing solutions in an enterprise environment.

Roles & Responsibilities:

• Serve as the data science technical lead and subject matter expert for assigned AI-enabled capabilities across analytics capabilities
• Partner with product owners and supply chain stakeholders to translate business problems into prioritized AI and analytics use cases technical approaches success measures and delivery plans
• Design develop evaluate and enhance GenAI and agentic AI solutions using large language models retrieval-augmented generation semantic search prompt engineering and multi-agent workflows
• Establish evaluation and monitoring approaches for AI solutions including accuracy relevance robustness safety user feedback and appropriate human review
• Apply machine learning statistical modeling and time-series analysis to supply chain use cases involving demand supply inventory capacity cost risk and operational performance
• Collaborate with data engineers to develop trusted analytical datasets reusable features data quality checks lineage and documentation supporting AI and analytics products
• Work with software engineering architecture platform testing and delivery partners to integrate data science capabilities into enterprise applications and support testing deployment production performance and issue resolution
• Provide technical guidance and reviews to data scientists engineers and delivery partners; coordinate dependencies and promote reusable approaches across connected products
• Develop technical documentation operating procedure and contribute to technical reviews
• Communicate findings solution tradeoffs risks recommendations and business impact to technical and non-technical stakeholders while contributing through the Agile delivery model and applicable AI and data governance processes

We are all different yet we all use our unique contributions to serve patients. The professional we seek is a Data Scientist with these qualifications.

Basic Qualifications:

• Masters degree and 1 to 3 years of Computer Science IT or related field experience OR
• Bachelors degree in data science business statistics data mining applied mathematics business analytics engineering computer science or a related field with 2 years of relevant experience. OR
• Associates degree in data science business statistics data mining applied mathematics business analytics engineering computer science or a related field with 6 years of relevant experience
• Hands-on experience with Python and SQL for data analysis feature engineering machine learning natural language processing and AI solution development
• Experience designing or developing GenAI and large-language-model capabilities such as AI assistants retrieval-augmented generation embeddings semantic search prompt engineering or agentic workflows
• Strong foundation in machine learning statistical analysis exploratory data analysis time-series methods and model evaluation
• Experience progressing data science or AI solutions from experimentation into production including testing version control monitoring and MLOps or LLMOps practices
• Ability to work with large complex datasets and collaborate on data modeling data quality lineage and reusable analytical data pipelines
• Demonstrated ability to translate business problems into technical approaches independently lead a technical workstream and communicate results clearly

Preferred Qualifications:

• Experience with supply chain manufacturing or biotech analytics use cases such as demand and supply planning inventory capacity cost financial planning or operational KPIs
• Experience with cloud-based data and AI platforms large-scale data processing and integration of AI capabilities into enterprise applications
• Understanding of responsible AI AI governance security compliance observability and ongoing solution performance management
• Experience supporting analytical or reporting products and working with cross-functional teams and delivery partners in an Agile or SAFe environment

Professional Certifications:

• Data Science Artificial Intelligence or Machine Learning Certification (Preferred)
• Cloud or Data Platform Certification (Optional)

Soft Skills:

• Excellent critical-thinking analytical and problem-solving skills
• Strong communication collaboration and stakeholder-management skills
• Demonstrated ability to provide technical leadership and influence without formal authority
• Ability to connect technical work to business outcomes and explain complex topics clearly
• Strong presentation knowledge-sharing and mentoring skills

As we work to develop treatments that take care of others we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture well support your journey every step of the way.

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.

In any materials you submit you may redact or remove age-identifying information such as age date of birth or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.

Amgen does not have an application deadline for this position; we will continue accepting applications until we receive a sufficient number or select a candidate for the position.

Sponsorship for this role is not guaranteed.

As an organization dedicated to improving the quality of life for people around the world Amgen fosters an inclusive environment of 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. We make all employment decisions without regard to race color religion sex or any other characteristic protected by applicable law.

We provide reasonable accommodations to applicants and employees with disabilities consistent with legal requirements. Please contact us to request accommodation.

Salary Range