Associate Scientist Jobs

About The Position

Requirements

• Master’s degree in operations research, mathematics, statistics, engineering or closely related field; PhD preferred.
• 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.
• Familiarity with food service, restaurant operations, demand planning, supply planning, distribution and logistics a plus.
• Good communication skills and presence, with experience presenting to key stakeholders.

Responsibilities

• 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
• Tuition reimbursement and student loan repayment assistance