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!

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.

Supervisory Responsibilities

• Not responsible for supervising employees.

Basic Qualifications

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).

Preferred Qualifications  

• 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 platforms, and analytical software tools.
• Ability to communicate complex analytical concepts to audiences with varying technical expertise.
• Ability to solve complex and ambiguous business problems using structured analytical approaches.
• Strong business acumen with the ability to connect analytical findings to measurable business outcomes.
• Ability to independently manage analytical projects from problem definition through implementation and measurement.
• Experience working in cross-functional teams supporting multiple business functions and priorities simultaneously.
• Understanding of data governance, data quality, model validation, and responsible AI practices.
• Ability to influence stakeholders and drive adoption of analytical solutions across the organization.

Essential Physical Demands/Work Environment

• Work is primarily sedentary: must be able to sit for extended periods and use a computer, keyboard, and mouse, frequently.
• The employee must occasionally lift and/or move up to 25 pounds.
• Travel may be required periodically, including overnight stays.

Benefits:

• Health/Dental/Vision Insurance
• Paid Time Off
• Paid Parental Leave
• Fertility Coverage
• 401k with Generous Company Match
• Company Paid Life Insurance and Long-Term Disability
• Short-Term Disability
• Employee Assistance Program
• Tuition Reimbursement
• Employee Discounts
• PNC Daily Pay Option

Join us for an exciting career journey with positive, driven individuals.