Senior Analyst, Search and Recommendations

Carmax

Confirmed live yesterday High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Richmond, VA
Salary
$88,400–$132,600 / yr
Employment
Full-time
Posted
125 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $152k
This role $110k
$77k $198k
below market most similar roles pay here above market

This role pays less than 88% of similar roles. Most pay $119,387–$184,081 — the blue band above. At the midpoint, this role pays about $110k versus about $152k for comparable roles.

Based on 240 similar postings.

Employer

About Carmax

CarMax is the largest used car retailer in the United States, offering a customer-friendly, no-haggle buying experience with a broad selection of quality used vehicles, financing, and vehicle protection plans. Industry: Automotive Retail

Carmax currently has 33 open roles on FindRole.

Listed pay typically runs $104,000–$156,000 across 19 roles with salary data.

Most-posted roles

View all roles at Carmax

At a glance

TL;DR · Senior Analyst, Search and Recommendations

The Senior Analyst, Search and Recommendations joins the Personalization data science team to build and maintain search algorithms and recommender systems for a digital shopping experience. You will analyze large-scale behavioral data, including search queries and purchase patterns, to surface insights regarding customer preferences and system performance. Key responsibilities include designing and executing rigorous statistical tests like A/B tests and holdout experiments, partnering with data scientists on model development, and translating complex findings into narratives for stakeholders. You will utilize SQL and Python, specifically pandas and matplotlib, while potentially using Spark, Databricks, and BI tools like Tableau, PowerBI, or Looker. This role addresses the technical challenges of the used vehicle market by optimizing ranking and segmentation algorithms to improve retail and wholesale product use cases.

What you'll do

  • Analyze large-scale behavioral data to identify customer preferences and system performance.
  • Design and execute rigorous statistical tests like A/B tests and holdout experiments.
  • Partner with data scientists to develop, validate, and monitor machine learning models.
  • Translate complex data findings into clear narratives for technical and non-technical stakeholders.
  • Develop and maintain dashboards to track key performance metrics over time.
  • Support ML model development by bridging the gap between performance metrics and business outcomes.

What we're looking for

  • 3+ years of experience in an analytical role, preferably in e-commerce, marketplace, or another data-rich environment.
  • Strong SQL skills and experience with Python (e.g. pandas, matplotlib) for data manipulation and analysis.
  • Solid foundation in statistics, including hypothesis testing, confidence intervals, and experimental design.
  • Experience working with large datasets using tools like Spark, Databricks, or similar is preferred.
  • Ability to build and maintain reports in BI tools (Tableau, PowerBI, Looker, etc.), or interest in learning.
  • Clear communication skills to explain complex analysis to technical and non-technical stakeholders.
  • Bachelor's degree in a quantitative field (statistics, economics, math, engineering, or similar).
  • Applicants must be currently authorized to work in the United States on a full-time basis.

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