Sr. Data Scientist

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. 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 support Manufacturing, you will play a key role in enabling data-driven operations through advanced analytics, interactive visualizations, and digital solutions. You will partner with manufacturing, scheduling, quality, and engineering teams to design tools and models that improve production planning, operational visibility, and decision-making. 

This role combines hands-on data science, strong visualization expertise, and the ability to introduce and scale new technologies within a regulated manufacturing environment. 

Specific responsibilities include but are not limited to:

• Design and develop intuitive, scalable dashboards and visualizations to monitor manufacturing performance, capacity, and KPIs (e.g., throughput, cycle time, yield)  

• Partner with manufacturing and scheduling teams to develop and optimize production scheduling models and tools  

• Apply advanced analytics and machine learning to improve operational efficiency, reduce downtime, and enhance process reliability  

• Translate complex manufacturing data into actionable insights for shop floor teams and leadership  

• Support digital transformation initiatives by evaluating and piloting new technologies  

• Develop data-driven solutions for capacity planning, resource allocation, and scenario analysis  

• Collaborate with data engineering and IT teams to build robust data pipelines and ensure high-quality, real-time data availability  

• Implement and support self-service analytics capabilities for manufacturing stakeholders  

• Ensure compliance with data integrity and regulatory requirements (e.g., GxP, GMP, 21 CFR Part 11)  

• Mentor team members and promote best practices in data visualization, analytics, and model deployment  
  

What we expect of you

We are all different! Yet, we all use our unique contributions to serve patients. The Sr. Data Scientist professional we seek is an individual contributor with these qualifications.

Basic Qualifications:

Doctorate degree
OR
Master’s degree and 2 years of combined Data Science/Analytics and/or GMP Regulated Industry experience
OR
Bachelor’s degree and 4 years of  combined Data Science/Analytics and/or GMP Regulated Industry experience
OR
Associate’s degree and 8 years of combined Data Science/Analytics and/or GMP Regulated Industry Support experience experience
OR
High school diploma / GED and 10 years of combined Data Science/Analytics and/or GMP Regulated Industry experience

Preferred Qualifications:

• Strong expertise in data visualization tools (e.g., Tableau, Power BI, Spotfire, Databricks) and dashboard design principles  

• Educational background in Data Science, Computer Science/Engineering and/or Information Systems or related coursework.

• Proficiency in Python, R and SQL  programming languages

• Artificial intelligence for predictive analysis trends evaluation and data analysis. Experience with scheduling, optimization, or operations research methods  

• Experience working in manufacturing, supply chain, or industrial environments  

• Familiarity with production systems (e.g., SAP, MES)  

• Experience with time series analysis, forecasting, and anomaly detection  

• Exposure to Industry 4.0 technologies (IoT, digital twins, real-time analytics)  

• Experience with cloud platforms (AWS, Azure.) and big data tools  

• Knowledge of Mfg Ops and deploying analytics solutions into production environments  Strong communication skills with the ability to engage both technical and non-technical stakeholders 
  

What you can expect of us

As we work to develop treatments that take care of others, we also work to care for our teammates’ professional and personal growth and well-being.

In addition to the base salary, Amgen offers a Total Rewards Plan comprising 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 including:

• A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental & vision coverage, and life & disability insurance

• 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 and an annual site shutdown

• Flexible work models, including remote work arrangements, where possible
  

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

careers.amgen.com

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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 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 you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.

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.