Data Scientist

Lkqcorp Open

Hybrid 3102 Nashville, TN - Corporate Office Full-time Mid-level Data Science

At a glance

Mid-level Data Science role at Lkqcorp. 3102 Nashville, TN - Corporate Office · full-time · no salary stated · we estimate $116,263–$174,915 across the United States.

Estimated pay

Lkqcorp has not published a salary for this role. The figure below is our estimate, not theirs.

$116,263 – $174,915

What the middle half of mid-level data science roles in the United States paid, among postings that did state a salary.

Worked out from 478 postings that stated pay, median $143,050. Last updated Nov 6, 2026.

RoleData Science

SeniorityMid-level

Location3102 Nashville, TN - Corporate Office

WorkplaceHybrid

EmploymentFull-time

PostedSep 22, 2026

Role brief

dataroles summary, based on the employer's posting.

What you'll do

Work with pricing specialists to maintain and improve price-setting rules used across categories, regions and downstream systems
Build data models and algorithms with data engineering, IT and data science colleagues for pricing and discount decisions
Test pricing hypotheses with varied datasets, using predictive models to guide decisions across product lines
Help develop pricing analytics priorities and track KPIs to evaluate initiatives, spot trends and guide action
Provide timely analyses and reporting, then share practical recommendations with pricing leaders and other teams

What you bring

A bachelor's degree or equivalent professional experience, plus at least three years working as a data scientist or in equivalent work
Strong capability with data visualization and analytics software, particularly Power BI
You can explain findings clearly and build credibility with stakeholders across different functions

Who this fits

This mid-level individual contributor role suits someone who can handle several analytical projects and work with pricing, data and business teams. Periodic travel, including overnight trips, may be required. The work is primarily sedentary and involves extended computer use.

From the employer

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 performance across our product offering within North America Supply Chain. Collaborate with cross-functional teams and pricing experts to create impactful pricing solutions, refine discount logic, and support consistency across product categories and regions.

Essential Job Duties

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, IT, and Sr. Data Scientist to design robust data models and algorithms that support pricing systems, target discount logic, and other core data-driven solutions within the Supply Chain Org.
Analyze large, diverse datasets to test hypotheses, conduct predictive modeling, and inform pricing decisions across product lines.
Collaborates with Sr. Data Scientist pricing engines/algorithms for >1,000,000 individual SKUs across 5+ price levels.
Assists in shaping the Pricing Analytics roadmap by identifying emerging data science needs, recommending analytical tools, and proposing new methodologies to support the pricing function.
Alongside Sr. Data Scientist, assists with 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.

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

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.

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: