Data Scientist
Listed on 2026-06-29
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IT/Tech
Data Analyst, Machine Learning/ ML Engineer, Data Scientist, AI Engineer (Applied/Software)
Data Scientist
Company: PACCAR
Requisition SummaryAs 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 part of the Advanced Analytics team, a collaborative group that creates 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 have the opportunity to present their work to senior executives, helping to shape PPD’s current business and long‑term analytics strategy.
JobFunctions / 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 advanced concepts such as reinforcement learning.
- Lead conversations with stakeholders to gather project requirements and other relevant information.
- 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.
- Demonstrate strong analytical skills, excellent general business acumen, and the ability to concisely and clearly communicate complex topics.
- Work with stakeholders from any department to develop new analytics solutions, identify necessary data, and support analytics best practices.
- Bachelor’s Degree required (quantitative field preferred).
- Master’s 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 Git Hub 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, DynamoDB, API Gateway, and ECS preferred.
- Highly motivated self‑starter and self‑directed learner with a creative mind, high attention to detail, and solution‑oriented outlook.
- Ability to succeed in a multi‑functional business environment and influence adoption of new ideas.
- 401(k) with up to a 5% company match.
- Fully funded pension plan with monthly benefits after retirement.
- Comprehensive paid time off – minimum of 10 paid vacation days, 12 paid holidays, and sick time.
- Tuition reimbursement for continued education.
- Medical, dental, and vision plans for you and your family.
- Flexible spending account and health savings account.
- Paid short- and long‑term disability programs.
- Life and accidental death and dismemberment insurance.
- EAP services including wellness plans, estate planning, and financial counseling.
- Eligible for a holiday gift.
At PACCAR, the salary range for this position is $104,100 – $146,630 annually. This role is eligible for the full range of benefit options listed above.
Equal Employment OpportunityPACCAR is an equal opportunity employer that protects veterans and people with disabilities. PACCAR has a diverse and inclusive workforce and believes in fostering collaboration and innovation.
LocationSeattle
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