Data Scientist Manager
Core
Lead the design, development, and optimization of data-driven solutions to enhance Sales Order Management (SOM) processes, including business rules engines, predictive analytics, and workflow automation.
Role type
Manager, Data Science & Operational Analytics
Builds
Scalable data solutions for global Order-to-Cash (O2C) operations
Domain
Financial Markets Infrastructure / Order Management
Deliverable
production ML models | product features | dashboards & analysis | infrastructure
Required skills
Data Science, Process Mining, Business Rules Engine Strategy, Workflow Automation, Operational Analytics, Team Leadership, Stakeholder Management, Predictive Modeling, Anomaly Detection, RPA
Preferred skills
LLM adoption, ERP systems integration, Digital Transformation
Technologies
Python, SQL, PySpark, Power BI, Tableau, Scikit-learn, XGBoost, TensorFlow, PyTorch, AWS Glue, Celonis, UiPath, Power Automate, Siebel, SAP, Oracle, Salesforce
Responsibilities
Lead and mentor a team of Data Scientists and analysts; Define and own the strategy for the SOM Business Rules Engine; Analyze end-to-end processes to identify bottlenecks and automation opportunities; Lead the design and deployment of predictive and prescriptive models; Identify opportunities to automate manual processes using ML and RPA.
Seniority
Manager, hands-on leadership
