Sr Data Scientist

LKQ-posted 1 day ago
Full-time • Mid Level
Nashville, TN
5,001-10,000 employees
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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 and data science to drive pricing strategies, optimize revenue, and maximize price performance across our product offering. Collaborate with cross-functional teams and pricing experts to create impactful pricing solutions, refine discount logic, and support consistency across product categories and regions.

  • Partner with pricing and business experts to maintain, refine, and scale price-setting logic across downstream systems, supporting pricing consistency across categories and regions.
  • Work alongside data professionals, including data engineers and IT, to design robust data models and algorithms that support pricing systems, target discount logic, and other core data-driven pricing solutions.
  • Analyze large, diverse datasets to test hypotheses, conduct predictive modeling, and inform pricing decisions across product lines.
  • Manage pricing engines/algorithms for >1,000,000 individual SKUs across 5+ price levels.
  • Contribute to shaping the Pricing Analytics roadmap by identifying emerging data science needs, recommending analytical tools, and proposing new methodologies to support the pricing function.
  • Drive continuous KPI tracking to assess the effectiveness of pricing initiatives, detect trends, and support proactive, data-driven decision-making.
  • Conduct ad-hoc analyses and reporting for real-time business needs, ensuring insights are accessible and relevant to key stakeholders.
  • Build strong relationships with the Pricing leadership team and other cross-functional teams, establishing trust through consistent, high-quality insights and actionable recommendations.
  • Assumes other duties as assigned.
  • Bachelor's Degree or equivalent work experience.
  • 5+ years of experience as a professional data scientist, ideally within industrial goods, engineering products, distribution, or B2B sales environments.
  • Proficiency in data science tools and languages, particularly Python and SQL.
  • Demonstrated expertise in data visualization and analytics tools, especially Power BI.
  • Strong understanding of pricing and econometrics concepts, including elasticity.
  • 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).
  • Ability to add, subtract, multiply, and divide in all units of measure, using whole numbers, common fractions, and decimals.
  • Ability to compute rates, ratios, and percentages and to draw and interpret graphs.
  • Demonstrate use of computer operations (programming, relational databases, and operating systems) and software packages.
  • Regularly uses moderately complex oral and written skills.
  • May train others in functional areas, interact with colleagues, and deliver presentations to departmental or middle management.
  • Problems are varied and complex, requiring analysis or interpretation of the situation.
  • Problems are solved using knowledge and skills, general precedents, and practices.
  • Decisions impact the management and operations within a department or business unit.
  • May contribute to business and operational decisions that affect the department.
  • Results are defined; sets personal own goals and determines how to achieve results with few or no guidelines to follow; supervisor/manager provides broad guidance and overall direction.
  • Handle multiple tasks or projects simultaneously with moderate complexity.
  • Bachelor's or Master's degree in Statistics, Applied Math, Physics, Engineering, or a related field.
  • Health/Dental/Vision Insurance
  • Paid Time Off
  • 401k with Generous Company Match
  • Company Paid Life Insurance and Long-Term Disability
  • Short-Term Disability
  • Employee Assistance Program
  • Tuition Reimbursement
  • Employee Discounts
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