Senior Data Scientist Engineer
Core
Design and execute data strategy, ingest and model enterprise data, and leverage AI/ML to uncover trends and solve complex business problems.
Role type
Senior Data Scientist Engineer (Data Engineering & ML)
Builds
Enterprise data pipelines, analytical models, and ML solutions on Microsoft Azure
Domain
Real Estate / Commercial Services (Cushman & Wakefield)
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Azure Data Lake Storage (ADLS), Azure Data Synapse, Azure Data Factory, PySpark, Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, API integration, web scraping, data migration, data modeling
Preferred skills
Responsible AI practices, Gen AI, data visualization, stakeholder collaboration
Technologies
Microsoft Azure, PySpark, ADLS Gen2, Data Synapse, Data Factory
Responsibilities
Optimize Azure Data Lake Storage for raw and processed data; Build and manage Azure Data Synapse/Data Factory pipelines; Develop and maintain data models using PySpark; Design and deploy machine learning system software; Conduct complex data analyses and visualize results; Serve as subject matter expert for AI/ML practices
Seniority
Senior, hands-on IC