WORLDPAC · 7 hours ago
Data Scientist
Oakbrook Terrace, IL
Full-time
Onsite
Mid, Senior Level
4+ years expWORLDPAC is seeking a Data Scientist to play a critical role in building, deploying, and scaling data science and AI solutions across its core business operations. The role involves hands-on technical execution focused on business impact, deploying production-grade models that support various business functions.
E-CommerceElectrical DistributionEnterprise SoftwareTraining
Responsibilities
Develop, deploy, and scale machine learning and optimization models across thousands of SKUs and customer accounts to drive margin growth, reduce waste, and optimize procurement
Apply forecasting, segmentation, and prescriptive modeling to enhance sales intelligence, pricing strategies, and inventory decisions
Build and maintain production pipelines that integrate AI models into operational systems and business workflows
Implement best practices for versioning, deployment, and monitoring of models in production
Partner with data engineering and IT teams to ensure scalable and stable integration with enterprise systems
Design and deploy GenAI-powered tools for use cases such as content automation for sales, intelligent customer interactions, and workflow augmentation — with a focus on measurable efficiency gains
Integrate generative AI capabilities into legacy systems and CRMs to enhance user productivity and decision-making
Collaborate with cross-functional stakeholders to identify and prioritize high-impact use cases
Use external data sources (e.g., D&B, Google Places, business registries) to enrich models and expand customer intelligence
Track the business value of deployed solutions — including cost savings, revenue growth, and operational efficiencies
Contribute to a culture of continuous improvement, peer learning, and delivery excellence
Mentor junior team members in practical data science and production deployment strategies
Qualification
Required
Bachelor's or Master's degree in Data Science, Computer Science, Engineering, or related field
4+ years of experience in applied data science, with a track record of deploying models into production at enterprise scale
Strong foundation in classical Machine learning (e.g., regression, classification, clustering, time series) and optimization (e.g., linear/mixed-integer programming)
Demonstrated ability to scale models across complex domains — millions of records, thousands of suppliers/customers/SKUs
Experience integrating AI outputs into ERP, CRM, or operational systems
Familiarity with practical applications of generative AI for business productivity
Proficient in Python and ML libraries (scikit-learn, XGBoost, pandas, etc.)
Strong communication skills with the ability to explain technical topics to business stakeholders
Preferred
Experience in B2B distribution, industrial supply, or adjacent sectors preferred
Familiarity with business intelligence platforms (e.g., Power BI, Tableau) and integrating AI-driven insights into dashboards is a plus
Preferred candidates will also bring previous exposure to third-party data enrichment (e.g., D&B, business intelligence APIs) and/or understanding of cloud environments (AWS, Azure, GCP) and MLOps tooling (e.g., MLflow, Airflow)
Company
WORLDPAC
Worldpac is a distributor of automotive parts and accessories firm that offers services for repair shops and automotive businesses. It is a sub-organization of Advance Auto Parts.
1001-5000 employees
H1B Sponsorship
WORLDPAC has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2024 (1)
2023 (1)
2022 (1)
2021 (1)
2020 (2)
Funding
Current Stage
Late StageTotal Funding
unknown2024-08-22Acquired
Leadership Team
Eminue Eminue
Manager, DC Operations
Germaine Ward
DC Operations Manager
Recent News
2025-05-27
2025-05-27
Company data provided by crunchbase