Sr Data Scientist

LKQ•Nashville, TN

About The Position

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.

Requirements

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.

Nice To Haves

Bachelor's or Master's degree in Statistics, Applied Math, Physics, Engineering, or a related field.

Responsibilities

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.