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<h2>Career Category</h2>Information Systems<h2></h2><h2>Job Description</h2><div><div>ABOUT AMGEN </div><div>Amgen harnesses the best of biology and technology to fight the world’s toughest diseases, and make people’s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what’s known today. </div><div> </div><div>ABOUT THE ROLE </div><div>Role Description: </div><div>The role is responsible for designing, building, maintaining, analyzing, and interpreting data to provide actionable insights that drive business decisions. This role will contribute as a core data science expert within Amgen’s Supply Chain analytics team. You will collaborate with data engineers, product owners, visualization developers, and business stakeholders to deliver impactful insights, predictive models, and GenAI-driven capabilities that enhance productivity, planning, and operations across Amgen’s global manufacturing and distribution network This role involves working with large datasets, developing reports, supporting and executing data governance initiatives and, visualizing data to ensure data is accessible, reliable, and efficiently managed. The ideal candidate has strong technical skills, experience with big data technologies, and a deep understanding of data architecture and ETL processes </div><div>Roles & Responsibilities: </div><div><ul><li>Apply machine learning, statistical modeling, and time-series analysis to predict operational outcomes, detect anomalies, and optimize supply chain metrics </li></ul></div><div><ul><li>Design, develop, and maintain data solutions for data generation, collection, and processing </li></ul></div><div><ul><li>Collaborate with data engineers to define robust, reusable feature engineering pipelines, data quality checks, and lineage tracking </li></ul></div><div><ul><li>Develop and maintain data models, data dictionaries, and other documentation to ensure data accuracy and consistency </li></ul></div><div><ul><li>Exploratory data analysis, understand business knowledge, do feature engineering </li></ul></div><div><ul><li>Analyze data to identify trends, patterns, and correlations that can inform business strategies and decision-making </li></ul></div><div><ul><li>Apply statistical analysis and machine learning techniques to build predictive models, identify patterns, and derive actionable insights from data </li></ul></div><div><ul><li>Work with data engineers on data quality assessment, data cleansing and data analytics </li></ul></div></div><div><div><ul><li>Share and discuss findings with team members practicing SAFe Agile delivery model </li></ul></div><div>Basic Qualifications and Experience: </div><div><ul><li>Master’s degree and 3 to 5 years of Computer Science, IT or related field experience OR </li></ul></div><div><ul><li>Bachelor’s degree and 5 to 9 years of Computer Science, IT or related field experience OR </li></ul></div><div><ul><li>Diploma and 9 to 11 years of Computer Science, IT or related field experience </li></ul></div><div> </div><div>Functional Skills: </div><div>Must-Have Skills </div><div> </div><div><ul><li>Hands on experience with various Python/R packages for EDA, feature engineering and machine learning model training </li></ul></div><div><ul><li>Excellent problem-solving skills and the ability to work with large, complex datasets </li></ul></div><div><ul><li>Exposure to NLP and LLM-based tools, including embeddings, semantic search, or chatbot modeling </li></ul></div><div>Good-to-Have Skills: </div><div><ul><li>Strong understanding of data modeling, data warehousing, and data integration concepts </li></ul></div><div><ul><li>Understanding of MLOps, data validation, model drift monitoring, and retraining pipelines </li></ul></div><div><ul><li>Experience with supply chain, manufacturing, or biotech analytics use cases (e.g., lead time prediction, inventory optimization, demand/supply forecasting) </li></ul></div><div>Professional Certifications: </div><div><ul><li>Certified Data Scientist (preferred on Databricks or Cloud environments) </li></ul></div><div><ul><li>Machine Learning Certification (Optional) </li></ul></div><div>Soft Skills: </div></div><div><div><ul><li>Excellent critical-thinking and problem-solving skills </li></ul></div><div><ul><li>Strong communication and collaboration skills </li></ul></div><div><ul><li>Demonstrated awareness of how to function in a team setting </li></ul></div><div><ul><li>Demonstrated presentation skills </li></ul></div><div> </div><div>EQUAL OPPORTUNITY STATEMENT </div><div>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. </div><div>We will ensure that individuals with disabilities are provided with 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 an accommodation. </div><div> </div><div> </div></div>.

Sr. Associate Data Scientist

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Amgen

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