Lead AI and analytics projects using Python, SQL and Power BI to build predictive models, generate insights and improve operations enterprise data ROI
15th June, 2026
SUMMARY
The Data Scientist will lead projects and collaborate with business partners including commercial insights teams, manufacturing, supply chain, engineering, data teams, external vendor partners, service owners and IS partners to develop analytical models and insights across the PR Operations Organization to answer/solve specific business problems. This role will lead advanced analytics projects from the front and will be responsible for end to end execution. This role will innovate and create significant business impact through the strategic use of advanced analytics techniques.
FUNCTIONS
Leading, using and developing data science, machine learning, and artificial intelligence capabilities across Amgens commercial organization
Leading the projects and be part of cross functional teams on projects and/or programs with aims to systematically derive insights that ultimately derive substantial business value for Amgen.
Taking the initiative and work independently with minimal supervision
Identifying business needs, doing SWOT analysis, proposing potential analytical approaches for solutions, obtain approvals and the execute the work end to end.
Building high-performance algorithms, prototypes, predictive models and proof of concepts using Python
Working with SQL and other DB query languages
Leading, collaborating and communicating cross-functionally with stakeholders to develop appropriate methodology to answer specific business questions
Presenting analysis ideas, progress and results to business partners in clear and impactful manner
Creating powerful stories in PowerPoint. Well versed in MS Office suite specifically Excel and PowerPoint
Assuring compliance with regulatory, security, and privacy requirements as it relates to data assets
REQUIREMENTS
Doctorate OR Masters + 2 years of data science, business, statistics, data mining, applied mathematics, business analytics, engineering, computer science or related field experience OR Bachelors + 4 years of data science, business, statistics, data mining, applied mathematics, business analytics, engineering, computer science or related field experience OR Associates + 8 years of data science, business, statistics, data mining, applied mathematics, business analytics, engineering, computer science or related field experience OR High school/GED + 10 years of data science, business, statistics, data mining, applied mathematics, business analytics, engineering, computer science or related field experience
8 hours shift (Admin)
Software Engineering or BA Data Science/Analytics
Proficiency in Python, R, SQL, Power BI, Databricks, or similar analytics and visualization platforms.
Familiarity with enterprise data platforms, data warehousing concepts, data modeling, and data integration solutions (e.g., EDW, Databricks, SAP, MES, or equivalent platforms).
Exposure to Industry 4.0 technologies (IoT, digital twins, real-time analytics)