Data Scientist

Amgen · Remote (United States) · $103,852.15 - $140,505.85 USD · Posted 2026-10-09

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. In this vital role you will serve as a core data science expert and AI-enabled capabilities within Amgen's 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

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.

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.

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.

Apply now and make a lasting impact with the Amgen team. --------------------------------------------------------

careers.amgen.com ---------------------

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

About Amgen

Amgen is a biotechnology company that develops and manufactures human therapeutics for various illnesses and diseases.

Data Scientist

About Amgen

More jobs at Amgen

Related searches