Dealer Tire
Senior Data Scientist - Supply Chain
Dealer Tire, a family‑owned international distributor of tires and parts established in 1918 in Cleveland, OH. Base Pay Range:
$130,000-$145,000 Essential Job Functions
Deliver data‑driven insights through advanced algorithms and statistical models aligned with Supply Chain strategy, maximizing profitability and minimizing costs. Collaborate with leadership to effectively solve problems, assess results, and communicate actionable recommendations. Build relationships with cross‑functional teams to drive progress and adoption of Data Science projects. Execute discovery sprints and deep exploratory data analysis to convert anecdotes into testable hypotheses, KPIs, and use cases across supply chain functions. Define and track operational KPIs with model health to tie analytics to service, cost, safety, and cash. Translate complex analyses into simple narratives and decision memos leaders can act on, linking findings to economics and operational playbooks. Advanced Modeling and Analysis
Identify and prioritize projects with the most significant returns and develop advanced mathematical and statistical models. Design optimization, ML, and simulation models and package them to drive day‑to‑day operations and decisions with clear recommendations and “what‑if” scenarios. Create high‑quality features and datasets with lineage and quality checks; stand up lightweight feature stores and reusable “EDA fact packs”. Develop, maintain, and optimize models in cloud environments, ensuring business teams can leverage insights. Collect, cleanse, transform, and curate structured and unstructured data into usable formats. Utilize tools like SQL and data APIs to manage data in various storage environments while ensuring privacy and confidentiality. Product and Project Management
Lead projects and collaborate with subject matter experts to align analysis outcomes with organizational goals. Partner with MLE/DE to deliver resilient pipelines with alerting and retraining; author runbooks and guardrails. Design and productionize multi‑agent workflows that read from the data lake or warehouse and trigger actions. Implement human‑in‑the‑loop review, role‑based guardrails, and observability. Design and deliver scalable, integrated software tools and models that balance predictive power, interpretability, and operational risks. Manage strategic projects, ensuring clear communication, timely delivery, and appropriate ROI. Other Duties as Assigned
As required. Basic Position Requirements
MS in Computer Science, Operations Research, Applied Mathematics, Machine Learning, or a related field. 4‑5 years of experience implementing optimization, ML, or AI models. Effective program management experience with proven results. Strong data engineering principles and familiarity with technologies to store, query, process, and analyze data. Strong programming skills in languages such as Python, C/C++, Java, or Go. Proven record of productionizing models in cloud environments, version control, and MLOps. Preferred Qualifications
In‑depth technical capabilities in Supply Chain & Optimization – Inventory, Transportation, Sourcing, Distribution, Fulfillment, and Planning. 2+ years of practical experience with Optimization + Simulation (e.g., Pyomo, OR‑Tools, Gurobi, CPLEX; Monte Carlo/discrete‑event) and ML. Ability to simplify complexity, influence cross‑functionally, and tell the story behind the math. Creative mindset with problem solving in sophisticated and complex environments. Competencies Required
Results Orientation Business Acumen Agility Initiative Influence Communication Customer Focus Relationship Building Critical Thinking Physical Job Requirements
Continuous viewing from and inputting to a computer screen. Sitting for long periods of time. Travel as necessary. Drug Policy
Dealer Tire is a drug‑free environment. All applicants must pass a pre‑employment drug screening before beginning work. Benefits
Pay may depend on qualifications, experience, and geographic location. Total compensation may include commission, bonus, or profit sharing. Benefits include paid time off, medical, dental, vision, and 401k match (50% on the dollar up to 7% of employee contribution). For more information on our benefits, visit the Dealer Tire Family of Companies Benefits Highlights Booklet. EEO Statement
Dealer Tire is an Equal Employment Opportunity (EEO) employer and does not discriminate on the basis of race, color, national origin, religion, gender, age, veteran status, political affiliation, sexual orientation, marital status or disability, with respect to employment opportunities. ADA Disclosure:
Any candidate needing accommodation due to a disability should contact Dealer Tire’s Human Resources Department at ADAAAccommodation@dealertire.com or phone 833‑483‑8232.
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Dealer Tire, a family‑owned international distributor of tires and parts established in 1918 in Cleveland, OH. Base Pay Range:
$130,000-$145,000 Essential Job Functions
Deliver data‑driven insights through advanced algorithms and statistical models aligned with Supply Chain strategy, maximizing profitability and minimizing costs. Collaborate with leadership to effectively solve problems, assess results, and communicate actionable recommendations. Build relationships with cross‑functional teams to drive progress and adoption of Data Science projects. Execute discovery sprints and deep exploratory data analysis to convert anecdotes into testable hypotheses, KPIs, and use cases across supply chain functions. Define and track operational KPIs with model health to tie analytics to service, cost, safety, and cash. Translate complex analyses into simple narratives and decision memos leaders can act on, linking findings to economics and operational playbooks. Advanced Modeling and Analysis
Identify and prioritize projects with the most significant returns and develop advanced mathematical and statistical models. Design optimization, ML, and simulation models and package them to drive day‑to‑day operations and decisions with clear recommendations and “what‑if” scenarios. Create high‑quality features and datasets with lineage and quality checks; stand up lightweight feature stores and reusable “EDA fact packs”. Develop, maintain, and optimize models in cloud environments, ensuring business teams can leverage insights. Collect, cleanse, transform, and curate structured and unstructured data into usable formats. Utilize tools like SQL and data APIs to manage data in various storage environments while ensuring privacy and confidentiality. Product and Project Management
Lead projects and collaborate with subject matter experts to align analysis outcomes with organizational goals. Partner with MLE/DE to deliver resilient pipelines with alerting and retraining; author runbooks and guardrails. Design and productionize multi‑agent workflows that read from the data lake or warehouse and trigger actions. Implement human‑in‑the‑loop review, role‑based guardrails, and observability. Design and deliver scalable, integrated software tools and models that balance predictive power, interpretability, and operational risks. Manage strategic projects, ensuring clear communication, timely delivery, and appropriate ROI. Other Duties as Assigned
As required. Basic Position Requirements
MS in Computer Science, Operations Research, Applied Mathematics, Machine Learning, or a related field. 4‑5 years of experience implementing optimization, ML, or AI models. Effective program management experience with proven results. Strong data engineering principles and familiarity with technologies to store, query, process, and analyze data. Strong programming skills in languages such as Python, C/C++, Java, or Go. Proven record of productionizing models in cloud environments, version control, and MLOps. Preferred Qualifications
In‑depth technical capabilities in Supply Chain & Optimization – Inventory, Transportation, Sourcing, Distribution, Fulfillment, and Planning. 2+ years of practical experience with Optimization + Simulation (e.g., Pyomo, OR‑Tools, Gurobi, CPLEX; Monte Carlo/discrete‑event) and ML. Ability to simplify complexity, influence cross‑functionally, and tell the story behind the math. Creative mindset with problem solving in sophisticated and complex environments. Competencies Required
Results Orientation Business Acumen Agility Initiative Influence Communication Customer Focus Relationship Building Critical Thinking Physical Job Requirements
Continuous viewing from and inputting to a computer screen. Sitting for long periods of time. Travel as necessary. Drug Policy
Dealer Tire is a drug‑free environment. All applicants must pass a pre‑employment drug screening before beginning work. Benefits
Pay may depend on qualifications, experience, and geographic location. Total compensation may include commission, bonus, or profit sharing. Benefits include paid time off, medical, dental, vision, and 401k match (50% on the dollar up to 7% of employee contribution). For more information on our benefits, visit the Dealer Tire Family of Companies Benefits Highlights Booklet. EEO Statement
Dealer Tire is an Equal Employment Opportunity (EEO) employer and does not discriminate on the basis of race, color, national origin, religion, gender, age, veteran status, political affiliation, sexual orientation, marital status or disability, with respect to employment opportunities. ADA Disclosure:
Any candidate needing accommodation due to a disability should contact Dealer Tire’s Human Resources Department at ADAAAccommodation@dealertire.com or phone 833‑483‑8232.
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