Impress employers and recruiters.
Choose from hundreds of resume examples.
Impress employers and recruiters.
Choose from hundreds of resume examples.
Tailor your resume to this Data Scientist role.
Rezi rewrites your resume against LKQ Corporation's job description. Free.
Tailor your resume to this Data Scientist role.
Rezi rewrites your resume against LKQ Corporation's job description. Free.
Don't guess if your resume is good enough.
See how it scores against the Data Scientist posting at LKQ Corporation — free, in seconds.
Don't guess if your resume is good enough.
See how it scores against the Data Scientist posting at LKQ Corporation — free, in seconds.
About the Role
LKQ Corporation is seeking motivated individuals to join their team, offering opportunities for growth, competitive benefits, and a supportive work environment. This role focuses on leveraging advanced analytics, statistical modeling, machine learning, and data science techniques to drive data-informed decision-making across multiple business functions. The position involves partnering with stakeholders to develop solutions and deliver actionable insights that improve operational efficiency, customer experience, financial performance, and strategic outcomes.
Responsibilities
- 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.
Requirements
- 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).
- 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.
- 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.
Skills
- Advanced analytics
- Statistical modeling
- Machine learning
- Data science techniques
- Data visualization
- Power BI
- Excel
- SQL
- Programming languages
- Databases
- Cloud platforms
- Analytical software tools
- Data governance
- Data quality
- Model validation
- Responsible AI practices
Location
- Remote
Work Type
- Full-time
Experience Level
- 3+ years
Education Level
- Bachelor's Degree or equivalent work experience
- Bachelor's or Master's degree in Statistics, Applied Math, Physics, Engineering, or a related field
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
About the Company
- 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!