Data Scientist

HAVI is a global, privately owned company focused on innovating, optimizing and managing the supply chains of leading brands. The Associate Data Scientist is responsible for applying cutting edge analytics leveraging technologies such as AI/ML/Gen AI/Optimization to solve clients’ complex problems, combining expertise in predictive and prescriptive modeling with an understanding of supply chain dynamics.

What you'll do:

• 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

What they're looking for:

• Master's degree in operations research, mathematics, statistics, engineering or closely related field
• 1+ years of data analytics, business intelligence and/or insight experience, or relevant fields with a Bachelor's degree and with a strong focus on predictive modeling in supply chain
• Proven record of identifying and developing business relevant solutions and influencing executive decision making
• Expertise in analytic tools and methodologies such as optimization, simulation, forecasting, machine learning, artificial intelligence
• Advanced proficiency in Python, Databricks, AI and GenAI, prompt engineering, and Azure or equivalent cloud technologies
• Good communication skills and presence, with experience presenting to key stakeholders
• PhD preferred
• Familiarity with food service, restaurant operations, demand planning, supply planning, distribution and logistics a plus

Benefits:

• Inclusive employee resource groups
• 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