Data Scientist

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Date: Jun 26, 2026

Location: Renton, WA, US, 98055

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Company: PACCAR

Requisition Summary

As a Data Scientist you’ll support the growth of PACCAR Parts by using industry-leading tools such as AWS, Snowflake, and Python to build, deploy, and manage AI and machine learning models and workflows. Additionally, you’ll support others by being a technical lead in order to support the development of other Associate Data Scientists.

This position is a part of the Advanced Analytics team, a collaborative group who create Analytics solutions with AI and Machine Learning for any department in the PACCAR Parts Division. As a member of this team, you’ll work on highly visible and impactful projects that support the strategic initiatives set by PACCAR Parts Leadership. Each team member will get the opportunity to present their work to Senior Executives, helping to shape PPD’s current business and long-term Analytics strategy.

Job Functions / Responsibilities

Serve as an expert on PACCAR Parts data sources

Build & deploy advanced analytics solutions using AI, machine learning, statistics, or other mathematical concepts for business departments.

Develop advanced analytics models; including creating, validating, analyzing and explaining the data used for model development

Support production algorithms that use more advanced concepts such as reinforcement learning.

Lead conversations with stakeholders to gather project requirements and other relevant information to support the development of assigned projects.

Regularly present analysis, updates, and project solutions to leadership and key stakeholders

Support the development of other data analysts by leading technical trainings on SQL, Python, Tableau, and/or data analysis

Candidate must demonstrate strong analytical skills, excellent general business acumen, with the ability to concisely and clearly communicate complex topics.

Able to work with stakeholders from any department to develop new analytics solutions, identify necessary data, and support analytics best practices.

Qualifications

Bachelor’s Degree required (quantitative field preferred).

Masters in Data Science, Mathematics/Statistics, Computer Science, or related field preferred.

5+ years of experience as a Data Analyst or Associate Data Scientist required; previous Data Science experience, preferred.

Experience with SQL, Python, and GitHub required.

Experience using Supervised and Unsupervised machine learning methods required.

Experience or knowledge of optimization methods preferred.

Experience with reinforcement learning, model stacking, and constrained optimization preferred.

Experience with AWS services such as Lambda, Step Functions, Dynamo DB, API Gateway, and ECS preferred.

Must be a highly-motivated self-starter and self-directed learner with a creative mind, high attention to detail and a solution-oriented outlook

Ability to succeed in a multi-functional business environment and influence adoption of new ideas

Additional Job Board Information

As a U.S. PACCAR employee, you have a full range of benefit options including:

401k with up to a 5% company match

Fully funded pension plan that provides monthly benefits after retirement

Comprehensive paid time off – minimum of 10 paid vacation days (additional days are provided with additional seniority/years of service), 12 paid holidays, and sick time

Tuition reimbursement for continued education

Medical, dental, and vision plans for you and your family

Flexible spending accounts (FSA) and health savings account (HSA)

Paid short-and long-term disability programs

Life and accidental death and dismemberment insurance

EAP services including wellness plans, estate planning, financial counseling and more

This position is eligible for a holiday gift

Additional Job Board Information

Salary Range:

At PACCAR, we value talent and promote growth and development. We carefully consider numerous compensation factors including your education, training, or experience. The salary range for this position is $104,100 - $146,630 annually. Additionally, this role is eligible for the full range of benefit options listed above.

Additional Information:

PACCAR Parts is an E-Verify Employer

PACCAR has success with diverse teams of employees working together to achieve excellent results. Having a diverse and inclusive work environment ensures PACCAR has the talent needed to conduct business today and in the future by leveraging different backgrounds, skills, and viewpoints. We believe diversity in the workplace increases innovation, results in better decisions and increases employee engagement.

Division Information

PACCAR Parts is the global provider of aftermarket parts and services to support Kenworth, Peterbilt, DAF and TRP dealers around the world. This includes 21 distribution centers globally that support 2,300 dealerships and over 1,000,000 customers. Aftermarket support includes world class customer centers that deliver industry leading uptime in conjunction with our outstanding supply chain that delivers record levels of inventory availability for dealers and customers.

Company Information

PACCAR is a Fortune 500 company established in 1905. PACCAR Inc is recognized as a global leader in the commercial vehicle, financial, and customer service fields with internationally recognized brands such as Kenworth, Peterbilt, and DAF trucks. PACCAR is a global technology leader in the design, manufacture and customer support of high-quality light-, medium- and heavy-duty trucks under the Kenworth, Peterbilt and DAF nameplates. PACCAR designs and manufactures advanced diesel engines and also provides customized financial services, information technology and truck parts related to its principal business.

Whether you want to design the transportation technology of tomorrow, support the staff functions of a dynamic, international leader, or build our excellent products and services — you can develop the career you desire with PACCAR. Get started!

Nearest Major Market: Seattle

Nearest Secondary Market: Bellevue

Job Segment: Machinist, Data Analyst, Computer Science, Database, SQL, Manufacturing, Data, Technology

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