Senior Data Engineer & Data Scientist - Commercial Intelligence

Position Overview International is on a bold journey to redefine commercial transportation. Evolving beyond our legacy as a truck and bus manufacturer, we are becoming a provider of integrated, sustainable transportation solutions powered by digital innovation, data, and AI. We are investing in the technologies, products, and talent that will shape the future of our industry. Position Overview International is on a bold journey to redefine commercial transportation. Evolving beyond our legacy as a truck and bus manufacturer, we are becoming a provider of integrated, sustainable transportation solutions powered by digital innovation, data, and AI. We are investing in the technologies, products, and talent that will shape the future of our industry. We have an exciting opportunity for a Senior Data Engineer & Data Scientist – Commercial Intelligence to help build the data and intelligence foundation behind Retail Sales Management (RSM), International’s digital sales platform supporting our dealer network. This is a highly hands‑on technical role at the intersection of data engineering, data science, commercial strategy, and digital product development. You will create trusted, scalable commercial data products that bring together customer, prospect, dealer, vehicle, sales, service, parts, CRM, and other enterprise data and transform it into actionable intelligence embedded directly into sales workflows. The challenge goes beyond building pipelines and dashboards. You will help answer the questions that matter to a salesperson: Who should I engage next? Why? What opportunity exists? And what action is most likely to create value? We are looking for someone with a strong sense of ownership, curiosity, and a solution‑oriented mindset: “we may not have done this before—let’s figure it out and learn quickly.” This is a full‑time position be based in Lisle, Illinois Monday through Thursday with hybrid in‑office and remote work flexibility on Friday. Responsibilities Design, build, and maintain scalable data pipelines and data products supporting RSM and broader commercial intelligence capabilities. Integrate, normalize, and model customer, prospect, dealer, vehicle, sales, service, parts, CRM, digital interaction, and external data. Develop robust approaches 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. Translate complex commercial data into actionable intelligence embedded directly into dealer and sales workflows—not simply reports and dashboards. Partner with Product, Sales, Commercial, UX, Data, and Engineering teams to turn high‑value business problems into scalable data and analytical solutions. Design reusable commercial data models, semantic structures, and ontology concepts for customers, prospects, vehicles, dealers, opportunities, and sales activity. Define and monitor data quality, model performance, and business‑impact metrics and resolve issues affecting the trustworthiness of commercial intelligence. Prototype and evaluate AI/ML approaches, including generative AI and LLM‑based capabilities, that improve commercial decision‑making and sales effectiveness. Establish engineering and data‑science practices covering testing, observability, documentation, governance, versioning, CI/CD, and production deployment. Own what you build, including operational readiness, production support, incident response, quality standards, and technical lifecycle management. Serve as a senior technical leader within the RSM product team, influencing 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. What We’re Looking For Strong 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 sound software‑engineering practices. Experience with modern cloud data platforms and distributed processing; Palantir Foundry/AIP and/or Databricks strongly preferred. Experience developing, deploying, and monitoring machine‑learning or statistical models against 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 problems. Experience with customer, sales, CRM, marketing, vehicle, transactional, service, parts, or other commercial datasets. Ability to translate 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‑driven mindset with the ability to operate independently in ambiguity. Excellent written and verbal communication skills. Coach and mentoring of other data scientists and data engineers. Minimum Requirements Bachelor's degree and at least 9 years of data engineering, data quality and/or analytics or statistical analysis experience At least 2 years of lead experience OR Master's degree and at least 5 years of data engineering, data quality and/or analytics or statistical analysis experience At least 2 years of lead experience OR At least 12 years of data engineering, data quality and/or analytics or statistical analysis experience At least 2 years of lead experience Additional Requirements Qualified candidates, excluding current employees, must be legally authorized on an unrestricted basis (US Citizen, Legal Permanent Resident, Refugee or Asylee) to be employed in the United States. We do not anticipate providing employment related work sponsorship for this position (e.g., H-1B status) Desired Skills Hands‑on experience engineering and operationalizing enterprise‑scale data and analytics solutions. Experience leading technical work, defining solution approaches, and influencing architecture or data strategy across cross‑functional teams. Qualified candidates, excluding current employees, must be legally authorized on an unrestricted basis to be employed in the United States. We do not anticipate providing employment related work sponsorship for this position (e.g., H-1B status). Deep experience with Palantir Foundry, including data pipelines, ontology design, AIP, OSDK, and operational applications. Experience with Databricks and modern lakehouse/data‑engineering patterns. Experience applying machine learning to sales, lead generation, customer intelligence, propensity, recommendation, or next‑best‑action use cases. Experience with commercial vehicle, automotive, industrial B2B, dealer/distributor, or complex channel‑sales environments. Experience with API‑first and event‑driven architectures and integrating analytical data products into production applications. Experience with domain‑driven design, semantic modeling, master data, or commercial data domains. Advanced degree in computer science, data science, statistics, engineering, analytics, or a related quantitative discipline. Benefits And Compensation This position offers competitive market‑based compensation, along with a comprehensive benefits package designed to support employee wellbeing. You can learn more about the benefits offered for this position by visiting The expected salary offered for this position will fall within the stated range, with the final offer based on the candidates' applicable skills, knowledge, and experience. Company Overview With its brands Scania, MAN, International, and Volkswagen Truck & Bus, TRATON SE is the parent and holding company of the TRATON GROUP and one of the world’s leading commercial vehicle manufacturers. The Group’s product portfolio comprises trucks, buses, and light‑duty commercial vehicles. “Transforming Transportation Together. For a sustainable world.”: this intention underlines the Company’s ambition to have a lasting and sustainable impact on the commercial vehicle business and on the Group’s commercial growth. About TRATON With its brands Scania, MAN, International, and Volkswagen Truck & Bus, TRATON SE is the parent and holding company of the TRATON GROUP and one of the world’s leading commercial vehicle manufacturers. The Group’s product portfolio comprises trucks, buses, and light‑duty commercial vehicles. “Transforming Transportation Together. For a sustainable world.”: this intention underlines the Company’s ambition to have a lasting and sustainable impact on the commercial vehicle business and on the Group’s commercial growth. About International From a one-man company built on the world-changing invention of the McCormick reaper in 1831, to the 15,000-person-strong company we are today,few companies can lay claim to a history like International. Based in Lisle, Illinois, International Motors, LLC* creates solutions that deliver greater uptime and productivity to our customers throughout the full operation of our commercial vehicles. We build International® trucks and engines and IC Bus® school and commercial buses that are as tough and as smart as the people who drive them. We also develop Fleetrite® aftermarket parts. In everything we do, our vision is to accelerate the impact of sustainable mobility to create the cleaner, safer world we all deserve. As of 2021, we joined Scania, MAN and Volkswagen Truck & Bus in TRATON GROUP, a global champion of the truck and transport services industry. To learn more, visit International.com. International Motors, LLC is d/b/a International Motors USA in Illinois, Missouri, New Jersey, Ohio, Texas, and Utah. EEO Statement We are an Equal Opportunity Employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics. If you are a qualified individual with a disability and require a reasonable accommodation to access the online application system or participate in the interview process due to your disability, please View email address on click.appcast.io request assistance. Kindly specify Job Requisition Number / Job Title and Location in response. Otherwise, your request may not be considered. #J-18808-Ljbffr International