Associate Data Scientist

About HAVI HAVI, part of Morgan Street Holdings, a Chicago-based company and private investment group, is a global leader in integrated supply chain management for the food industry, providing end-to-end solutions for retail, quick-service restaurants (QSR), and food service (FSR) in over 30 markets. Our comprehensive services include freight management, distribution and warehousing, planning and analytics, and waste and recycling solutions. Designed to enhance operational efficiency and reduce complexity, our solutions empower businesses to focus on their customers while we take care of the logistics.

HAVI

SUPPLY CHAINLOGISTICSSOURCINGDIGITAL SUPPLY CHAINFREIGHT MANAGEMENTANALYTICSSUPPLY CHAIN VISIBILITYCATEGORY MANAGEMENTFOOD SERVICE LOGISTICSCOLD CHAIN

H

havi.com

10,001+ employees

Holding Companies

Chicago, Illinois

Privately Held

56k LinkedIn followers

• 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

• 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.
• Content scope: Predictive and prescriptive analytics, application engineering and development, user adoption
• Stakeholders & Networks: Client teams, Planning Operations, Account/Business Management, DevOps, Product Management, Technology and other Analytics and Insights teams
• Working model: Collaborates with cross-functional team within global planning and analytics and with client/partner stakeholders
• Starting Salary is $90,000-$105,000 with a 5% targeted bonus
• Our total rewards philosophy integrates programs for compensation, benefits, recognition, learning and development, corporate culture, corporate citizenship and work-life balance. While individual program components may differ by country, some things remain constant
• Opportunities to work with talented and driven individuals at every level of our company who respect each other, treat each other fairly and hold one another accountable for our customers’—and our company’s—success
• 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
• Are you a good match for this Job?
• Please submit an online application with your salary expectations and an indication of your earliest starting date.

• Medical insurance
• Dental insurance
• Vision insurance
• Paid parental leave
• Paid medical leave
• 401(k) with company match
• Profit sharing
• Paid time off
• Tuition reimbursement
• Student loan repayment assistance