WORLDPAC · 1 month ago
Sr. Data Scientist, Experimentation
Oak Brook, IL
Full-time
Onsite
Senior Level
$130K/yr - $130K/yr
5+ years expWorldpac is seeking an experienced Data Scientist with deep expertise in Design of Experiments (DoE) to drive how they design, execute, and measure operational pilots across their national network of parts warehouses. This role involves architecting structured experimental designs, developing frameworks for pilot testing, and applying advanced statistical techniques to derive insights from complex data.
E-CommerceElectrical DistributionEnterprise SoftwareTraining
Responsibilities
Architect and operationalize structured experimental designs across branches, customers, and SKUs to evaluate strategic initiatives, pricing strategies, stocking decisions, operational changes, and commercial programs
Develop branch-level experimental frameworks using matched market methodology (e.g., pairing or clustering similar branches) to ensure clean test-control comparisons and high-quality inference
Implement true DoE frameworks that go beyond simple A/B testing — including factorial and fractional factorial designs, response surface methods, and multivariate test structures — to explore multiple operational or commercial levers simultaneously and understand their interaction effects
Create within-branch experimental setups (e.g., testing interventions on some SKUs while holding others as controls) to isolate effects in complex operational settings
Build robust measurement frameworks for pilots — including KPI selection, metric design, tracking dashboards, and real-time monitoring to assess pilot fidelity and performance
Apply advanced statistical and causal inference techniques (e.g., synthetic control methods, diff-in-diff, regression modeling) to extract insights and quantify impact from noisy real-world data
Partner cross-functionally with operations, merchandising, branch leadership, and product teams to identify pilot opportunities, define treatments, ensure operational feasibility, and guide interpretation
Create DoE playbooks and standardized pilot protocols to scale structured testing across the organization
Use operations research methods — optimization, simulation, probabilistic modeling— to enhance pilot designs and anticipate system-level effects
Qualification
Required
5+ years of relevant experience in data science, experimentation, or statistical modeling
Deep expertise in Design of Experiments, including multi-factor and multivariate designs (factorial, fractional factorial, response surface methods), matched markets, and A/B/n testing
Experience structuring experiments in operational or distribution network settings (e.g., branch or location-based pilots)
Proven ability to identify and match test and control groups in heterogeneous environments
Strong statistical programming skills in JSL, Visual Basic, Python or R; proficiency in SQL and modern data platforms
Demonstrated ability to set up and monitor experiments end-to-end, from design through execution and impact measurement
Strong communication skills and ability to work across operational and business teams
Background in Operations Research, including network optimization, simulation, or queuing theory
Experience applying causal inference methods in non-laboratory settings (e.g., synthetic control, difference-in-differences)
Experience in B2B or industrial distribution environments
Familiarity with cloud data and compute platforms (e.g., Databricks, Snowflake, AWS, Azure)
Strategic thinker with strong business and technical acumen
Excellent communication and collaboration abilities, with the capacity to influence across all levels of the organization
High integrity, professionalism, and commitment to company values
Adaptable and resilient in a fast-paced, evolving technology landscape
Collaborative and influential, able to drive alignment across diverse teams and stakeholders
Adaptable, resilient, and comfortable leading and supporting change as well as clarifying action in the face of ambiguity
Advanced degree (M.S. or Ph.D.) in Statistics, Operations Research, Data Science, Economics, Industrial Engineering, Quality Engineering or a related quantitative field
Company
WORLDPAC
Worldpac is a distributor of automotive parts and accessories firm that offers services for repair shops and automotive businesses. It is a sub-organization of Advance Auto Parts.
1001-5000 employees
H1B Sponsorship
WORLDPAC has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2024 (1)
2023 (1)
2022 (1)
2021 (1)
2020 (2)
Funding
Current Stage
Late StageTotal Funding
unknown2024-08-22Acquired
Leadership Team
Eminue Eminue
Manager, DC Operations
Germaine Ward
DC Operations Manager
Recent News
2025-05-27
2025-05-27
Company data provided by crunchbase