Senior Data Scientist, Customer Conversion

Carmax

High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Richmond, VA
Posted
88 days ago
Nearby
99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $164k
$100k most similar roles pay here $231k

This listing doesn't post a salary. Most similar roles pay $128,520–$198,950.

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 11 open roles on FindRole.

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At a glance

TL;DR · Senior Data Scientist, Customer Conversion

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As a Senior Data Scientist, Customer Conversion, you will join the Customer Conversion Data Science team to build and maintain machine learning and artificial intelligence solutions that help customers navigate their buying journey. You will develop and maintain ML models and analytical frameworks to improve customer experience, intelligent routing, and personalized digital interactions. Your daily responsibilities include designing algorithms in a machine learning cloud environment, partnering with software engineers for deployment, assessing production model performance, and designing statistical tests to gather data for improvement. The role requires proficiency in Python, SQL, and other languages for large-scale analysis of numerical and textual data. You will apply these skills to solve business problems regarding customer experience and operational effectiveness, potentially utilizing natural language processing or large language models to create data-driven experiences within the automotive industry.

What does a Data Scientist earn in Virginia?

Median $145200 from 75 postings across 5 companies.

See salary data

Skills

Machine Learning Artificial Intelligence Python SQL Natural Language Processing Large Language Models Model Evaluation Experimental Design Data Science

What you'll do

  • Design and develop machine learning algorithms and statistical models within a cloud environment.
  • Partner with software engineers to deploy and maintain production algorithms.
  • Assess performance of live models and identify specific opportunities for improvement.
  • Collaborate with internal teams to identify new use cases for AI and ML capabilities.
  • Design experiments and data collection strategies to improve algorithm performance.
  • Translate complex analytical results into clear business outcomes for stakeholders.

What we're looking for

  • Degree in Statistics, Data Science, or a related field.
  • Authorization to work in the United States on a full-time basis.
  • 1-2 years of experience developing and maintaining ML/AI models in a business setting.
  • 1-2 years of experience evaluating and assessing performance of traditional ML algorithms and AI systems.
  • 1-2 years of experience designing and analyzing statistical tests.
  • Proficiency in Python, SQL, and other languages for large-scale analysis of numerical and textual data.
  • Experience with model interpretability, natural language processing, or large language models is a plus.
  • Work Authorization: Applicants.

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