The Data Scientist is responsible for applying cutting edge analytics leveraging technologies such as AI/ML/Gen AI/Optimization to solve our clients' complex problems. This role combines deep expertise in predictive and prescriptive modeling with a strong understanding of supply chain dynamics to deliver transformative insights in integrated planning.
Requirements
- Develop prescriptive and predictive analytics initiatives that enhance supply chain performance, including demand forecasting, inventory optimization, integrated planning, and risk mitigation.
- Develop and evangelize innovative modeling approaches, leveraging machine learning, simulation, and optimization to solve complex supply chain challenges.
- Support thought leadership by identifying emerging trends and technologies.
- Influence stakeholders through compelling storytelling, data-driven recommendations, and articulation of business impact.
- Collaborate cross-functionally with planning delivery, product, sales and account management, and technology to align analytics solutions with business priorities globally.
- Foster a culture of continuous learning and analytical excellence.
- Design and implement scalable analytics frameworks and tools that support long-term supply chain analytics transformation.
- Drive thought leadership in areas such as AI/ML/Optimization and other recent advancements in analytics and technology.
- Act as a trusted advisor on machine learning and AI; enable other team members to solve complex data science problems, including problem formulation, data preparation, model development, and output interpretation
Benefits
- Generous medical, dental, vision and other great benefits
- Paid parental and medical leave programs
- 401(k) with a company match component and profit sharing
- 15 days of paid time off plus company holidays
- Hybrid work model with flexibility
- Tuition reimbursement and student loan repayment assistance