Jana Faerber, Senior Data Scientist
Professional Overview
Jana Faerber is a Senior Data Scientist with the Supply Chain Advanced Analytics Team at Mars. She brings over 7 years of experience applying advanced analytics and machine learning techniques to drive strategic supply chain optimization and business impact.
Experience Summary
Current Role
As a Senior Data Scientist at Mars, Jana is responsible for designing and deploying innovative data-driven solutions to enhance the company's supply chain operations. In this role, she:
- Leverages predictive modeling, forecasting, and optimization techniques to identify opportunities for improved inventory management, logistics planning, and demand fulfillment
- Collaborates cross-functionally with supply chain, operations, and commercial teams to understand business objectives and translate them into analytical frameworks
- Implements state-of-the-art machine learning models to automate decision-making, streamline workflows, and drive measurable efficiency gains
- Serves as a technical leader, mentoring junior data scientists and promoting the adoption of advanced analytics capabilities across the organization
Under Jana's guidance, the supply chain analytics team has delivered over 20% improvements in inventory turns and 15% reductions in logistics costs for key product lines.
Career Progression
Prior to joining Mars, Jana held data science roles at leading consumer goods companies, where she gained extensive experience in supply chain optimization, demand forecasting, and advanced analytics application. As a Data Scientist at Unilever, she developed AI-powered demand forecasting models that improved fill rates by 12% and reduced inventory carrying costs by 8%. Jana's career trajectory demonstrates her ability to drive impactful, data-driven change in complex, global supply chain environments.
Academic Background
Jana holds a Master's degree in Operations Research from the University of Bremen, where she specialized in supply chain management and optimization. During her studies, she conducted research on the application of machine learning techniques to inventory management and was recognized for her thesis project, which received the university's award for outstanding graduate research.
Areas of Expertise
- Supply chain optimization and analytics
- Advanced predictive modeling and machine learning
- Inventory management and demand forecasting
- Logistics planning and network design
- Cross-functional collaboration and stakeholder engagement
- Data visualization and storytelling
Professional Impact
At Mars, Jana has led the development of a supply chain control tower that integrates real-time data sources to enable predictive, end-to-end visibility and decision support. This initiative has resulted in a 20% reduction in expedited shipping costs and a 15% improvement in service level agreements for key customers.
Jana is also an active contributor to the supply chain analytics community, having presented her work at industry conferences and published articles in leading trade journals. Her innovative approaches and measurable successes have positioned her as a thought leader in the application of advanced analytics to transform global supply chain operations.
Conclusion
With her strong technical expertise, data-driven mindset, and proven track record of driving tangible business impact, Jana Faerber is a valuable asset to the Mars supply chain team. As she continues to expand her influence and guide the organization's analytics capabilities, Jana is poised to make a lasting contribution to the company's supply chain optimization and competitive positioning.
