Data Scientist
Core
Build predictive/prescriptive models and machine-learning algorithms to improve efficiency of quality business processes and support digital transformation.
Role type
Data Scientist (Quality & AI/ML)
Builds
Production ML models, data pipelines, and user interfaces for decision support
Domain
Automotive (Quality Management, Warranty Systems)
Deliverable
production ML models
Required skills
Python, SQL, Spark, Power BI/Tableau, DataBricks, predictive modeling, data preprocessing, model monitoring
Preferred skills
Domain knowledge of quality processes (issue management, warranty reduction), Atlassian tools (agents/automation), Master's/Ph.D. in quantitative field
Technologies
Python, SQL, Spark, Power BI, Tableau, DataBricks
Responsibilities
Build predictive/prescriptive models and machine-learning algorithms; Analyze large amounts of diverse information to discover trends; Undertake preprocessing of structured and unstructured data; Monitor and sustain model effectiveness; Create repeatable and scalable code and processes; Present complex information using data visualization techniques
Seniority
Mid-level, hands-on IC