Data Scientist

Join the LKQ Family! We're looking for motivated individuals to join our team at LKQ Corporation. With opportunities for growth, competitive benefits, and a supportive work environment, LKQ is the place to be. Apply now and take the first step toward a rewarding career! Responsible for leveraging advanced analytics, statistical modeling, machine learning, and data science techniques to drive data-informed decision-making across multiple business functions. Partners with business stakeholders, data engineers, analytics teams, and IT leadership to identify opportunities, develop predictive and prescriptive solutions, and deliver actionable insights that improve operational efficiency, customer experience, financial performance, and strategic outcomes across the enterprise. Collaborates with cross-functional teams to transform complex data into scalable analytical solutions, enabling business functions to make more effective and consistent decisions through data-driven insights. Essential Job Duties Partner with business leaders and subject matter experts across multiple functions including Finance, Supply Chain, Sales, Pricing, Operations, eCommerce, and Corporate Services to identify opportunities for data-driven decision making. Collaborate with Data Engineering, Data Operations, Data Intelligence, and IT teams to design, develop, and support scalable analytical models, machine learning solutions, and advanced data products. Analyze large, complex, and diverse datasets to identify trends, test hypotheses, uncover business opportunities, and support strategic initiatives across the enterprise. Develop and maintain predictive, prescriptive, forecasting, optimization, and classification models that improve business performance and operational effectiveness. Design and implement analytical frameworks, statistical methodologies, and machine learning algorithms to address business challenges and support enterprise initiatives . Contribute to the Data Science and Advanced Analytics roadmap by identifying emerging technologies, methodologies, and opportunities to increase business value through data. Define, track, and monitor key performance indicators (KPIs) and analytical metrics to evaluate operational performance, measure outcomes, and support continuous improvement initiatives. Create dashboards, reports, visualizations, and self-service analytical solutions that communicate complex findings in a clear and actionable manner. Conduct ad-hoc analysis and research to support business priorities, strategic planning, and executive decision-making. Present analytical findings, recommendations, and model results to technical and non-technical audiences, including management and executive leadership. Build strong relationships with business and technology stakeholders by serving as a trusted advisor and advocate for data-driven decision making. Assumes other duties as assigned.

Not responsible for supervising employees.

Education & Experience Bachelor's Degree or equivalent work experience. 3+ years of experience as a professional data scientist or equivalent work experience,  Ideally, within industrial goods, engineering products, distribution, or B2B sales environments. Demonstrated expertise in data visualization and analytics tools, especially Power BI. Excellent collaboration and communication skills, with the ability to build trust and influence stakeholders across functions. High fluency using analytics tools in a business setting, including Excel and report-building software (experience with Power BI or SQL a plus).

Bachelor's or Master's degree in Statistics, Applied Math, Physics, Engineering, or a related field. Knowledge/Skills/Abilities   Strong understanding of statistical analysis, machine learning techniques, predictive modeling, and analytical methodologies. Demonstrated proficiency with programming languages, databases, cloud