Senior Data Engineer & Data Scientist – Commercial Intelligence

International Motors, LLC is seeking a Senior Data Engineer & Data Scientist for hybrid work from Lisle, IL. The role focuses on building scalable data pipelines and analytical products that turn integrated commercial and enterprise data into decision-ready intelligence embedded within dealer and sales workflows.

Responsibilities

• Design, build, and maintain scalable data pipelines and data products supporting Retail Sales Management (RSM) and broader commercial intelligence capabilities.
• Integrate, normalize, and model data spanning customer, prospect, dealer, vehicle, sales, service, parts, CRM, digital interactions, and external sources.
• Develop strong methods for identity resolution, entity matching, deduplication, normalization, lineage, and data quality across complex commercial datasets.
• Build and operationalize analytical and machine-learning models for lead scoring, opportunity identification, customer segmentation, propensity, prioritization, and next-best-action recommendations.
• Deliver actionable intelligence directly into dealer and sales workflows, rather than limiting output to reports and dashboards.
• Partner with Product, Sales, Commercial, UX, Data, and Engineering teams to convert high-value business problems into scalable data and analytical solutions.
• Create reusable commercial data models, semantic structures, and ontology concepts for customers, prospects, vehicles, dealers, opportunities, and sales activity.
• Define and track data quality, model performance, and business-impact metrics, and address issues that affect the trustworthiness of commercial intelligence.
• Prototype and evaluate AI and ML approaches, including generative AI and LLM-based capabilities, to improve commercial decision-making and sales effectiveness.
• Establish engineering and data-science practices including testing, observability, documentation, governance, versioning, CI/CD, and production deployment.
• Own the full lifecycle of what you build, including operational readiness, production support, incident response, quality standards, and technical lifecycle management.
• Act as a senior technical leader within the RSM product team, shaping architecture and technical direction while mentoring other practitioners.
• Communicate complex analytical findings and technical decisions clearly to technical teams, product leaders, commercial stakeholders, and senior leadership.

Requirements

• Hands-on experience building production-grade data pipelines, data models, analytical products, and commercial intelligence solutions at enterprise scale.
• Advanced SQL and Python skills with solid software-engineering practices.
• Experience with modern cloud data platforms and distributed processing; Palantir Foundry/AIP and/or Databricks are strongly preferred.
• Experience developing, deploying, and monitoring machine-learning or statistical models using large, complex datasets.
• Strong understanding of data quality, lineage, observability, governance, testing, and production operations.
• Experience solving entity resolution, identity matching, customer-360, master-data, or similar commercial data challenges.
• Experience working with commercial datasets such as customer, sales, CRM, marketing, vehicle, transactional, service, or parts data.
• Ability to convert ambiguous commercial problems into data products, models, experiments, and measurable outcomes.
• Experience embedding analytical intelligence into operational applications and workflows.
• Familiarity with LLMs, retrieval, AI agents, or AI-assisted decision systems.
• Demonstrated ability to influence technical direction and drive outcomes across Product, Engineering, Data, and business teams.
• Highly proactive, ownership-focused mindset with capability to operate independently in ambiguity.
• Excellent written and verbal communication skills.
• Coaching and mentoring of other data scientists and data engineers.
• Master’s degree.
• At least 5 years of data engineering, data quality and/or analytics or statistical analysis experience.
• At least 2 years of lead experience.
• Bachelor’s degree and at least 9 years of data engineering, data quality and/or analytics or statistical analysis experience.
• At least 12 years of data engineering, data quality and/or analytics or statistical analysis experience.
• Qualified candidates, excluding current employees, must be legally authorized to work in the United States on an unrestricted basis (US Citizen, Legal Permanent Resident, Refugee or Asylee). Employment-related sponsorship is not anticipated for this role (e.g., H-1B status).

Technologies

• SQL, Python
• Palantir Foundry, Palantir AIP
• Databricks
• Machine learning, LLMs, generative AI, LLM-based capabilities
• Retrieval, AI agents
• CI/CD
• API-first and event-driven architectures
• Ontology, ontology concepts, semantic modeling, ontology design
• OSDK

Compensation and Benefits

• Salary: USD 160,000 - 240,000 per year
• Benefits: Comprehensive benefits package designed to support employee wellbeing
• Compensation approach: Competitive market-based compensation

Additional Notes

Qualified candidates, excluding current employees, must be legally authorized on an unrestricted basis to be employed in the United States. Employment-related work sponsorship is not anticipated for this position (for example, H-1B status).