Sr. Associate Data Scientist

ABOUT AMGEN

Amgen harnesses the best of biology and technology to fight the world’s toughest diseases, and make people’s lives easier,fullerand longer. We discover, develop,manufactureand deliver innovative medicines to help millions of patients. Amgen helpedestablishthe biotechnology industry more than 40 years ago andremainson thecutting-edgeof innovation, using technology and human genetic data to push beyondwhat’sknown today.

ABOUT THE ROLE

Role Description:

Theroleis responsible fordesigning, building,maintaining,analyzing, and interpreting data toprovideactionable insights that drive business decisions.This role will contributeas 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 networkThis role involves working with large datasets, developing reports,supporting and executing data governance initiativesand,visualizing datatoensure 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

Roles & Responsibilities:

• Apply machine learning, statistical modeling, and time-series analysis to predict operational outcomes, detect anomalies, andoptimizesupply chain metrics

• Design, develop, andmaintaindata solutions for data generation, collection, and processing 

• Collaborate with data engineers to define robust, reusablefeature engineering pipelines, data quality checks, and lineage tracking

• Develop andmaintaindata models, data dictionaries, and other documentation to ensure data accuracy and consistency

• Exploratory data analysis, understand business knowledge, do feature engineering

• Analyze data toidentifytrends, patterns, and correlations that can inform business strategies and decision-making

• Apply statistical analysis and machine learning techniques to build predictive models,identifypatterns, and derive actionable insights from data

• Work with data engineers on data quality assessment, datacleansingand data analytics

• Share and discuss findings with team members practicing SAFe Agile delivery model

Basic Qualifications andExperience:

• Master’sdegree and 3 to 5 years of Computer Science,ITor related fieldexperience  OR

• Bachelor’s degree and 5 to 9 years of Computer Science,ITor related field experience OR

• Diploma and 9 to 11 years of Computer Science,ITor related field experience

Functional Skills:

Must-Have Skills  

• Hands on experience with various Python/R packagesforEDA,featureengineeringand machine learning model training

• Excellent problem-solving skills and the ability to work with large, complex datasets

• Exposure toNLP and LLM-based tools,including embeddings, semantic search, or chatbot modeling

Good-to-Have Skills: 

• Strong understanding of data modeling, data warehousing, and data integration concepts

• Understanding ofMLOps, data validation, model drift monitoring, and retraining pipelines

• Experience withsupply chain, manufacturing, or biotech analyticsuse cases (e.g., lead time prediction, inventory optimization, demand/supply forecasting)

Professional Certifications:

• Certified Data Scientist(preferredon Databricks orCloud environments)

• Machine Learning Certification (Optional)

Soft Skills:

• Excellentcritical-thinking andproblem-solving skills 

• Strong communicationand collaboration skills

• Demonstrated awareness of how to function in a team setting

• Demonstrated presentation skills

EQUAL OPPORTUNITY STATEMENT

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 with reasonable accommodation toparticipatein the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to requestaccommodation.