Data Scientist

Amgen Inc. (IR); Jacksonville (FL); Hybrid; USD 104,000 - 141,000; Full time

Benefits offered by this job

Competitive benefits

Discretionary annual bonus

Stock-based incentives

Flexible work models

Generous paid time off

Job summary

Amgen Inc. in Jacksonville, FL, is seeking a Data Scientist to lead AI-enabled analytics across the enterprise. You will translate business problems into prioritized AI use cases, design GenAI solutions, and collaborate with data engineers to build reliable data pipelines.

The role requires hands-on Python/SQL, experience with LLMs, and strong knowledge of ML, time-series, and production practices. You will contribute to governance and deliver in an Agile environment.

Qualifications

• Master's or Bachelor's degree in a relevant field with 1–3 years of related experience.
• Hands-on Python and SQL for data analysis, feature engineering, and AI solution development.
• Experience designing GenAI and LLM-based capabilities with production readiness.

Responsibilities

• Serve as data science lead for AI-enabled capabilities across analytics.
• Translate business problems into prioritized AI/analytics use cases with delivery plans.
• Design and evaluate GenAI and agentic AI solutions using LLMs and retrieval-augmented generation.
• Establish evaluation and monitoring for AI solutions including safety and governance.
• Apply ML and time-series analysis to supply chain use cases like demand, inventory, and cost.
• Collaborate with data engineers to build trusted analytical datasets and pipelines.
• Work with software teams to integrate data science into enterprise apps and production.
• Provide technical guidance and coordinate dependencies across teams.
• Develop documentation and contribute to technical reviews.
• Communicate findings and business impact to stakeholders within Agile processes.

Skills

Python

SQL

GenAI

LLM

MLOps

Time-series

Education

Master's degree in Computer Science or related field

Bachelor's degree in data science, statistics, or related field

Associate's degree in data science or related field

Job description

Career Category Information Systems 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. 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, 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.

Data Scientist

What you will do

Let’s do this. Let’s change the world.

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

What we expect of you

The professional we seek is a Data Scientist with these qualifications.

Basic 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

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

What you can expect of us

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.

• 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.

Application deadline 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 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 103,852.15USD -140,505.85 USD

Amgen is committed to unlocking the potential of biology for patients suffering from serious illnesses by discovering, developing, manufacturing and delivering innovative human therapeutics. This approach begins by using tools like advanced human genetics to unravel the complexities of disease and understand the fundamentals of human biology. Amgen focuses on areas of high unmet medical need and leverages its biologics manufacturing expertise to strive for solutions that improve health outcomes and dramatically improve people's lives. A biotechnology pioneer since 1980, Amgen has grown to be one of the world's leading independent biotechnology companies, has reached millions of patients around the world and is developing a pipeline of medicines with breakaway potential. For more information, visit www.amgen.com and follow us on www.twitter.com/amgen