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About the Role
The Associate Data Scientist will apply cutting-edge analytics, including AI/ML/Gen AI/Optimization, to solve complex client problems within the supply chain. This role requires deep expertise in predictive and prescriptive modeling, strong supply chain understanding, and the ability to build trusted partnerships and serve as a thought leader.
Responsibilities
- Develop prescriptive and predictive analytics initiatives to enhance supply chain performance, including demand forecasting, inventory optimization, integrated planning, and risk mitigation.
- Develop and evangelize innovative modeling approaches using 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 to 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, enabling other team members to solve complex data science problems, including problem formulation, data preparation, model development, and output interpretation.
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 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 is a plus.
- Good communication skills and presence, with experience presenting to key stakeholders.
Skills
- AI/ML/Gen AI/Optimization
- Predictive modeling
- Prescriptive modeling
- Supply chain dynamics
- Machine learning
- Simulation
- Optimization
- Python
- Databricks
- Prompt engineering
- Azure
- Demand forecasting
- Inventory optimization
- Integrated planning
- Risk mitigation
- Data analytics
- Business intelligence
- Insight generation
- Communication skills
- Storytelling
Location
- 345 N Morgan St, Chicago, IL 60607
- Chicago metropolitan area
Work Type
- Hybrid
Experience Level
- 1+ years of data analytics, business intelligence and/or insight experience
Education Level
- Master’s degree in operations research, mathematics, statistics, engineering or closely related field; PhD preferred.
- Bachelor’s degree
Salary/Compensations
- $90,000-$105,000 with a 5% targeted bonus
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
About the Company
- HAVI is a global, privately owned company focused on innovating, optimizing and managing the supply chains of leading brands.
- Offering services in marketing analytics, packaging, supply chain management and logistics, HAVI partners with companies to address challenges big and small across the supply chain, from commodity to customer.
- Founded in 1974, HAVI employs more than 10,000 people and serves customers in more than 100 countries.
Equal Opportunity
- 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. Please contact us to request accommodation.