Senior Staff Engineer/Director, Statistical Engineering

Edmunds.comSanta Monica, CA
1d$184,000 - $254,000Remote

About The Position

At Edmunds we’re driven to make car buying easier. Ever since we began publishing printed car guides in the 60’s, the company has been in the business of trust, innovating ways to empower and support car shoppers. When Edmunds launched the car industry’s first Internet site in 1994, we established a leadership position online and have never looked back. Now, as one of the most trusted review sites on the Internet, millions of visitors use our research, shopping and buying tools every month to make an easy and informed decision on their next car. For consumers, we bring peace of mind. For dealers, we make tools to help them solve their problems and sell more cars. How do we do it, you ask? The key ingredients are our enthusiastic employees, progressive company culture and cutting-edge technology. Want to join the team? Read on to find out how! What You’re Applying For: We are seeking a highly skilled Senior Staff Engineer/Director, Statistical Engineering to lead AI/Machine Learning innovation, statistical innovation, and advanced analytics for the New Vehicles domain. This role is accountable for delivering measurable business impact through advanced modeling, data driven insights, and strategic technical leadership, directly shaping our pricing and valuation products.

Requirements

  • PhD in a quantitative field (Statistics, Econometrics, Data Science ,or related).
  • 8+ years (Senior Staff) / 10+ years (Director) of applied analytics and statistical modeling experience.
  • Deep expertise in Machine Learning, time-series forecasting, and advanced statistical methods.
  • Strong proficiency in Python, SQL, and cloud-based data environments.
  • Proven track record leading complex, high-impact analytical initiatives.
  • Excellent communication skills, strategic thinker, and collaborative leader focused on owning and innovating the new-vehicles analytics space.

Nice To Haves

  • Automotive pricing or valuation experience.

Responsibilities

  • Set the technical vision and roadmap for new-vehicle analytics, ensuring alignment with overall Pricing and Statistical Engineering strategies.
  • Identify and incorporate modern statistical techniques, machine learning, and generative AI into valuation, pricing, and forecasting systems.
  • Architect, develop, and validate statistical and machine learning models for new-vehicle pricing, TMV/valuation systems, and time-series forecasting, ensuring accuracy, scalability, and robustness.
  • Guide the design of rigorous experiments, calibration frameworks, and evaluation methodologies.
  • Lead end-to-end execution of strategic, complex initiatives, overseeing timelines, prioritization, and resourcing.
  • Communicate results, recommendations, and technical concepts clearly and impactfully to executive leadership and business partners.
  • Collaborate closely with the internal Stats group to maintain technical alignment and shared documentations.
  • Partner with Product, Engineering, Data, and Business stakeholders to integrate models and insights into downstream systems.

Benefits

  • Flexible time off
  • 13 Paid Holidays
  • Comprehensive Health Benefits (medical, dental, vision, life and disability)
  • Flexible Spending Accounts (Employees) and Health Savings Accounts (Employee and Employer Contributions)
  • 401K Plan with company matching at 100%, up to 6% of eligible salary with immediate vesting
  • Stock purchase program
  • CarMax vehicle discount
  • Up to 4 months Paid Parental Leave
  • HeartCash matches employee donations to the causes that are important to them
  • 2 Days of Paid Time Off for time to dedicate to social impact causes
  • FitCash covers a portion of gym or fitness activity fees
  • Well-being sessions
  • Employee Recognition Program
  • On-going career development opportunities
  • Pet insurance
  • Sabbatical leave
  • Education Reimbursement
  • Pre-tax spending accounts for qualified transportation expenses

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What This Job Offers

Job Type

Full-time

Career Level

Senior

Education Level

Ph.D. or professional degree

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