workday
Posted 7 days ago
Sr. Data Scientist
Job description
Career Category Engineering 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. With our focus on four therapeutic areas –Oncology, Inflammation, General Medicine, and Rare Disease– we reach millions of patients each year. Amgen is advancing a broad and deep pipeline of medicines to treat cancer, heart disease, inflammatory conditions, rare diseases, and obesity and obesity-related conditions. 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 role you will design, build, and deploy scalable data products, dashboards, analytical models, and cloud-based data solutions that improve operational visibility, risk management, supplier performance monitoring, and business decision-making. This role will partner with External Supply stakeholders, internal manufacturing sites, contract manufacturing organizations, Supply Chain, Quality, Finance, and central information technology teams to translate business needs into trusted, actionable, and governed data solutions. The successful candidate will bring strong technical expertise in advanced analytics, data engineering, cloud data platforms, and data governance, along with working knowledge of pharmaceutical manufacturing, external supply, supply chain, finance, and procurement processes.
Responsibilities
Include: Design, build, and maintain data pipelines, curated datasets, analytical data products, and reporting layers using Python, SQL, and cloud-based data platforms. Develop dashboards and visual analytics to monitor External Supply performance, manufacturing status, inventory, supply risk, supplier performance, procurement activity, and operational trends. Apply statistical, analytical, and data science methods to identify patterns, generate insights, support scenario analysis, and improve business decision-making. Partner with External Supply business stakeholders to define requirements, clarify business problems, identify data sources, and deliver fit-for-purpose digital and analytical solutions. Integrate and analyze structured and non-structured data from enterprise systems, including ERP, supply planning, procurement, manufacturing, quality, finance, and external partner data sources. Automate recurring reports and manual analyses to improve efficiency, consistency, and data accessibility. Collaborate with information technology and business teams to design scalable, maintainable, and reusable data architecture. Support data governance, data quality, documentation, and validation practices for analytics used in a regulated pharmaceutical environment. Communicate analytical findings, technical recommendations, and business insights clearly to technical and non-technical audiences. Promote best practices for code development, dashboard design, data management, analytics lifecycle management, and digital product sustainability. 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 a collaborative partner with these qualifications. Basic
Qualifications
Doctorate degree OR Master’s degree and 2 years of Data Scientist experience OR Bachelor’s degree and 4 years of Data Scientist experience OR Associate’s degree and 8 years of Data Scientist experience OR High school diploma / GED and 10 years of Data Scientist experience
Preferred Qualifications
Experience
in pharmaceutical, biotechnology, life sciences, or regulated manufacturing environments. Strong proficiency in Python for data processing, automation, analytics, and model development. Strong SQL skills, including complex queries, joins, aggregations, data transformation, and working with large datasets.
Experience
developing dashboards or visual analytics using tools such as Tableau, Power BI, or similar platforms.
Experience
with cloud databases or cloud data platforms such as Databricks, AWS, Azure, Google Cloud, or similar technologies.
Experience
with data engineering processes, including ETL/ELT pipelines, data modeling, data integration, data quality, orchestration, and version control.
Experience
designing scalable data models, reusable analytical datasets, and governed reporting layers.
Experience
with cloud data platforms, data lake architectures, APIs, workflow orchestration tools, Git, and CI/CD concepts. Ability to work cross-functionally with business stakeholders and technical teams to translate business requirements into analytical and digital solutions. Knowledge of External Supply, contract manufacturing, pharmaceutical manufacturing, GMP operations, supplier management, material planning, or logistics processes.
Experience
working with enterprise operation systems such as SAP, MES, LIMS, Veeva, procurement platforms, or external partner data sources.
Experience
developing predictive analytics, forecasting models, optimization models, anomaly detection, machine learning solutions, or advanced statistical analyses. Strong understanding of data governance, master data management, data lineage, documentation, and data quality practices. Demonstrated ability to manage ambiguity, structure complex business problems, and deliver practical analytical solutions. Strong communication, storytelling, and stakeholder engagement skills, with the ability to explain complex technical concepts to business audiences. Ability to manage multiple priorities, work independently, and deliver high-quality results in a fast-paced, cross-functional environment. Strong commitment to data integrity, compliance, scalability, and continuous improvement. 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 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 all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law. 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. . Salary Range 134,168.25USD -181,521.75 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
Skills and functions
- Aws
- Azure
- Data Engineering
- Data Science
- Gcp
- Machine Learning
- Python
- Sql