Data Scientist
The Associate Data Scientist at Confidential Client is responsible for leveraging advanced analytics, including AI, machine learning, and optimization, to solve complex supply chain challenges. This hybrid role involves developing predictive and prescriptive models to enhance supply chain performance, collaborating cross-functionally, and driving thought leadership in analytics to deliver transformative business insights.
About Careertakes
👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, Transportation, Logistics, Supply Chain and Storage.
Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.
Role Overview
Confidential Client is seeking a Data Scientist to apply advanced analytics, AI/ML and optimization to supply‑chain challenges. This hybrid role is based in Chicago (345 N Morgan St, Chicago, IL 60607). Candidates must reside in the Chicago metropolitan area. Relocation assistance is not offered.
What You’ll Do
- Develop prescriptive and predictive analytics to improve demand forecasting, inventory optimization, integrated planning and supply‑chain risk mitigation.
- Build, validate and productionize models using machine learning, simulation and optimization techniques.
- Evangelize and operationalize scalable analytics frameworks and tools that support long‑term transformation.
- Influence stakeholders through clear storytelling, data‑driven recommendations and quantification of business impact.
- Collaborate cross‑functionally with planning delivery, product, sales/account teams and technology to align solutions with business priorities across North America.
- Serve as a trusted advisor and mentor on model formulation, data preparation, model development and interpretation.
- Identify emerging analytics and AI/GenAI trends and drive thought leadership within the team.
What We’re Looking For (Qualifications)
- Master’s degree in operations research, mathematics, statistics, engineering or a closely related field; PhD preferred.
- Minimum ~1 year of relevant experience in data analytics, business intelligence or predictive modeling (or equivalent with a Bachelor’s and strong modeling focus).
- Demonstrated record of delivering business‑relevant solutions and influencing executive decision‑making.
- Expertise in optimization, simulation, forecasting, machine learning and AI.
- Advanced proficiency with Python, Databricks, AI/GenAI, prompt engineering and Azure (or equivalent cloud platforms).
- Strong communication and presentation skills for stakeholder engagement.
- Familiarity with food service/restaurant operations, demand and supply planning, distribution and logistics is a plus.
Location & Work Model
- Hybrid role based at 345 N Morgan St, Chicago, IL 60607.
- Candidates must reside in the Chicago metropolitan area.
- No relocation assistance is available for this posting.
Compensation & Benefits
- Starting base salary: $90,000–$105,000 per year.
- Targeted bonus: 5% (target).
- Benefits include medical, dental and vision plans, paid parental/medical leave, 401(k) with company match and profit sharing, tuition reimbursement and student loan repayment assistance, paid time off (15 days) plus company holidays, hybrid work model and inclusive employee resource groups.
Why This Role — Impact & Growth
- Work at the intersection of supply chain and advanced analytics to influence large operational decisions.
- Opportunity to drive enterprise‑scale analytics, mentor peers, and lead adoption of AI/GenAI and optimization techniques.
- Exposure to cross‑functional teams and global planning initiatives, with scope across North America.
Preferred Skills & Tools
- Forecasting, inventory optimization, integrated planning, simulation and optimization.
- Python, Databricks, Azure (or equivalent cloud), ML/AI frameworks and prompt engineering.
- Strong business storytelling and stakeholder engagement skills.
Equal Opportunity & Hiring Transparency
Careertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.
If you have questions about how your data is used, please contact us directly.
Negotiate a higher salary! Check the salary ranges for this job type in your area.
View My Salary Range