Data Scientist

• 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

What we expect of you

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.

• Master's degree and 1 to 3 years of Computer Science, IT or related field experience OR
• Bachelor's 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
• Associate's 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

• 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

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

• 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, we'll 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.