Data Scientist

HAVI; Chicago (IL); Hybrid; USD 105,000 - 120,000; Full time

Benefits offered by this job

Medical, Dental, Vision Benefits

401(k) with matching

Paid parental and medical leave

Tuition reimbursement

Job summary

HAVI in Chicago seeks a Data Scientist to leverage analytics for supply chain solutions. Responsibilities include developing predictive models, collaborating with teams, and influencing decisions with data-driven insights. Ideal candidates possess a Master’s degree and have 3+ years of relevant experience in data analytics. The position offers a hybrid work model and a competitive salary range of $105,000-$120,000 with benefits including 401(k) matching and generous paid time off.

Qualifications

• Master's or PhD preferred with strong focus on predictive modeling in supply chain.
• 3+ years of data analytics or relevant experience.
• Expertise in analytic tools and methodologies such as optimization, simulation, forecasting, machine learning.

Responsibilities

• Develop prescriptive and predictive analytics initiatives that enhance supply chain performance.
• Collaborate with cross-functional teams to align analytics with business priorities.
• Drive thought leadership in areas such as AI/ML/Optimization.

Skills

Predictive modeling

Machine learning

Data analytics

Optimization

Communication skills

Education

Master’s degree in operations research, mathematics, statistics, engineering or closely related field

Tools

Python

Databricks

Azure

Job description

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. For more information, please visit HAVI.com.

The Data Scientist is responsible for applying cutting edge analytics leveraging technologies such as AI/ML/Gen AI/Optimization to solve our clients’ complex problems. This role combines deep expertise in predictive and prescriptive modeling with a strong understanding of supply chain dynamics to deliver transformative insights in integrated planning. The ideal candidate will demonstrate deep advanced analytic skills, build trusted partnerships with key stakeholders, and serve as a thought leader in the application of data science to supply chain strategy.

This is a hybrid role based at 345 N Morgan St, Chicago, IL 60607. Candidates must reside in the Chicago metropolitan area. Relocation assistance is not offered at this time.

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 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.

Dimensions & Stakeholders

• Content scope: Predictive and prescriptive analytics, application engineering and development, user adoption
• Geographical Scope: North America
• 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 $105,000‑$120,000 with a 5% targeted bonus

Benefits

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:

• Our commitment to rewarding results
• 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

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. Please contact us to request accommodation.