Senior Data Scientist

Estimated Salary: $102,400 – $122,880 annually

Employment Type: Full-time

A leading omni-channel automotive retailer is transforming how customers buy cars through advanced analytics, machine learning, and data-powered decision-making. As a Senior Data Scientist
, you’ll play a key role in embedding data science across the business—developing models that personalize customer journeys, optimize operations, and fuel digital growth at scale.

With millions of customer interactions daily, this role offers access to rich, proprietary datasets and the chance to build algorithms that directly impact customer experience and business performance.

• Design, build, and deploy machine learning models that enable highly personalized customer experiences
• Develop predictive algorithms using large-scale customer, web, and transactional data
• Apply advanced modeling techniques including training, evaluation, validation, and production implementation
• Identify and design experimentation and testing strategies to continuously improve model performance
• Partner cross-functionally with Product, Engineering, Marketing, Operations, and Strategy teams to deliver data-driven solutions
• Translate complex analytical insights into clear, compelling narratives that influence business decisions
• Contribute to analytics best practices, mentor peers, and elevate the data science community

• Degree in Statistics, Data Science, Mathematics, Engineering, or a related field
• Master’s or PhD preferred in a quantitative discipline
• 1–2+ years of hands‑on experience in:
  • Machine learning, data mining, and statistical modeling
  • Cloud computing and data lake environments
  • Strong problem‑solving mindset with a passion for applying advanced analytics to real‑world business challenges
  • Ability to clearly communicate technical concepts to non-technical stakeholders
  • Proven ability to manage multiple projects in a fast‑paced environment

• Experience with recommender systems, search algorithms, or personalization engines
• Background operationalizing models for web or digital product integration

This is an opportunity to work at enterprise scale
, influence high-visibility initiatives, and help shape the future of digital retail through advanced analytics—while collaborating with teams that value experimentation, innovation, and impact.