Data Scientist - Automotive Services

Hiring organization: Confidential — Confidential automotive services company (employer named before interviews)
Location: Spokane, WA, US
Workplace: On-site
Employment: Full-Time
Pay: $102,000 - $138,500 per year
Date posted: 2026-11-02
Closing date: 2027-11-02

Typical pay for this kind of job

Data Scientists · Spokane-Spokane Valley, WA metro area

Posted pay is in the typical range

Median$56.37

Low$40.50

High$74.64

This job pays $49.04–$66.59 · Amounts are per hour

Low and high are the 25th and 75th percentiles: half of people in this occupation in Spokane-Spokane Valley, WA metro area earn between them. This is typical pay for the occupation, not an offer from this employer. Source: U.S. Bureau of Labor Statistics, Occupational Employment and Wage Statistics, May 2025. Job titles matched using the O*NET 31.0 Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA), used under the CC BY 4.0 license; O*NET® is a trademark of USDOL/ETA. JAI Bot has modified this information; USDOL/ETA has not approved, endorsed, or tested these modifications.

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Job description

Role overview: The Data Scientist - Automotive Services is based in Spokane, Washington and supports service scheduling, parts availability, and customer follow-up. This position combines hands-on execution with reliable documentation and collaboration across operational and technical teams. Responsibilities: Prepare analytical datasets, develop predictive models, evaluate error and bias, and explain model limitations. Apply these responsibilities to service scheduling, parts availability, and customer follow-up. Work with process owners to connect workshop activity with accurate service and parts records. Identify problems early, record the evidence behind recommendations, and coordinate handoffs so agreed work is completed accurately. Qualifications: 2+ years of relevant professional experience or equivalent demonstrated project work. Demonstrated capability in Python or R, statistics, experiment design, and model validation. Experience supporting automotive services is preferred. Ability to document decisions, communicate clearly, and handle business information responsibly. Initial priorities: Compare a baseline model with an interpretable alternative using held-out data. Begin by reviewing the current process, agreeing on a baseline with stakeholders, and identifying the most useful improvement to deliver. Report results using measures appropriate to the role and explain any unresolved dependencies. Work arrangement: Full-Time, On-site in Spokane, Washington. Estimated annual cash compensation: USD 102,000 to 138,500. Applications close November 2, 2027. Staffing agency submissions are welcome.

Required skills

Python or R, statistics, experiment design, and model validation

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