Senior Data Scientist - Supply Chain at Dealer Inspire

Cleveland, Ohio, United States

Dealer Inspire Logo
$130,000 – $145,000Compensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Automotive, Supply ChainIndustries

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, familiar with technologies to store, query, process, and analyze data
  • Strong programming skills in languages like Python, C/C++, Java, or Go
  • Proven record of productionizing models in cloud environments, version control, and MLOps
  • Preferred Qualifications
  • Demonstrate in-depth technical capabilities, professional knowledge and understanding in functional areas of Supply Chain & Optimization – Inventory, Transportation, Sourcing, Distribution, Fulfillment, and Planning
  • 2+ years of practical experience with Optimization + Simulation (Pyomo/OR-Tools/Gurobi/CPLEX; Monte Carlo/discrete-event) and ML
  • Ability to simplify complexity, influence cross-functionally, and tell the story behind the data

Responsibilities

  • Provide Thought Leadership & Drive Change: 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 EDA 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/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” to accelerate future work
  • Develop, maintain, and optimize models in cloud environments, ensuring business teams can leverage insights with actionable recommendations
  • Collect, cleanse, transform, and curate structured and unstructured data into usable formats for research and analysis
  • Utilize tools like SQL and data APIs to manage data in various storage environments, 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 so Ops can operate models confidently
  • 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 for recommended initiatives
  • Other Duties as Assigned

Skills

Statistical Modeling
Machine Learning
Exploratory Data Analysis
Optimization Models
Simulation
Feature Engineering
Cloud Environments
Data Cleansing
EDA
KPIs

Dealer Inspire

Digital marketing solutions for car dealerships

About Dealer Inspire

Dealer Inspire offers technology solutions and digital marketing services tailored for car dealerships. Their platform includes tools like Virtual Walkaround for online vehicle exploration and Boss Mode for improved customer communication. By providing a subscription-based model and additional services like SEO and SEM, they help dealerships increase traffic and convert leads into sales. The goal is to enhance the automotive sales process and improve customer service, ultimately boosting profitability for their clients.

None, IllinoisHeadquarters
2013Year Founded
$300KTotal Funding
DEBTCompany Stage
Automotive & Transportation, Consumer SoftwareIndustries
501-1,000Employees

Risks

Departure of key executives like Elizabeth Hern may impact strategic direction.
Complex EV models require innovative marketing strategies Dealer Inspire may not fully address.
Dependency on American Honda Motor partnership could be risky if market conditions change.

Differentiation

Dealer Inspire offers a unique Virtual Walkaround feature for online vehicle exploration.
Their Boss Mode chat feature enhances communication between customers and dealership teams.
The platform's analytics dashboard provides comprehensive insights into ROI, SEM, and SEO.

Upsides

Increased consumer interest in EVs presents a growing market for Dealer Inspire.
The rise of virtual reality can enhance Dealer Inspire's Virtual Walkaround feature.
Subscription-based services align with Dealer Inspire's business model, boosting customer retention.

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