HAVI
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Data Scientist
role at
HAVI
HAVI is a global, privately owned company focused on innovating, optimizing and managing the supply chains of leading brands. Founded in 1974, HAVI employs more than 10,000 people and serves customers in more than 100 countries.
Full‑time, hybrid work model based at 345 N Morgan St, Chicago, IL 60607. Candidates must reside in the Chicago metropolitan area; relocation assistance is not offered.
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.
Qualifications
Master’s degree in operations research, mathematics, statistics, engineering or closely related field; PhD preferred.
3+ years of data analytics, business intelligence and/or insight experience, or relevant fields with a Bachelor’s degree and 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.
Equal Opportunity Employer We are an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment.
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Data Scientist
role at
HAVI
HAVI is a global, privately owned company focused on innovating, optimizing and managing the supply chains of leading brands. Founded in 1974, HAVI employs more than 10,000 people and serves customers in more than 100 countries.
Full‑time, hybrid work model based at 345 N Morgan St, Chicago, IL 60607. Candidates must reside in the Chicago metropolitan area; relocation assistance is not offered.
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.
Qualifications
Master’s degree in operations research, mathematics, statistics, engineering or closely related field; PhD preferred.
3+ years of data analytics, business intelligence and/or insight experience, or relevant fields with a Bachelor’s degree and 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.
Equal Opportunity Employer We are an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment.
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