Associate Data Scientist

PACCAR; Bellevue (WA); On-site; USD 90,000 - 142,000; Full time

Benefits offered by this job

401k with up to a 5% company match

Fully funded pension plan with monthly

Comprehensive PTO and holidays

Tuition reimbursement

Medical, dental, and vision plans

FSA/HSA options

Disability insurance

Wellness & financial planning services

Holiday gift eligibility

Job summary

PACCAR in Bellevue, WA is seeking a Data Analyst in the Portfolio Risk and Analysis Group to develop analytic models that quantify risk across global financial portfolios. You will build and deploy risk models informing credit decisions for PACCAR's finance organizations.

The role emphasizes collaboration with IT and regional offices, applying AI/ML methods, data visualization, and production deployment, with emphasis on curiosity and communication.

Qualifications

• Bachelor’s degree in CS, MIS, analytics or related field.
• 5+ years of applicable data/analytic experience.
• Experience leading analytics projects with stakeholder collaboration.
• Strong statistical foundation and ML/model deployment experience.
• Proficiency in SQL and Snowflake; programming with Python or R.
• Experience deploying models to production and monitoring.
• Familiarity with AWS services and data tooling.
• Excellent communication and data visualization skills.

Responsibilities

• Lead analytic projects from problem statement to deployment and monitoring.
• Develop and deploy AI/ML models for risk analysis and credit decisions.
• Enhance BI capabilities and automate data pipelines using on-premise and cloud tools.
• Collaborate with IT and regional offices to drive adoption of digital initiatives.
• Present technical solutions to senior management and executives.

Skills

Data analytics leadership

Statistical modeling

ML algorithms

SQL proficiency

Python or R

AWS experience

Communication

Data visualization

Self-directed learner

Ambiguity handling

Education

Bachelor’s degree in Computer Science, MIS, Business Analytics, Statistics or related field

MBA or Master’s degree in related field

Tools

SQL

Snowflake

Python

R

SQL Server / Oracle / MySQL

AWS S3/Lambda

Apache Airflow

Job description

Company Information

PACCAR is a Fortune 500 company 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.

Company Information

PACCAR is a Fortune 500 company 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. We’re investing in sustainability for the long haul. We are a purpose‑led, values‑driven company that believes the work we do today makes a difference tomorrow. Whether you are starting out your career or continuing to build upon one, PACCAR provides opportunities for both! Join a community of professionals that is helping build the best in industry products and services that keep our communities running!

Requisition Summary

This position is located at PACCAR’s global headquarters in downtown Bellevue, Washington, and provides an exciting opportunity to support the strategic direction of PACCAR by developing and applying analytical models that identify and quantify risk in PACCAR’s global portfolio of financial products. As a Data Analyst within the Portfolio Risk and Analysis Group, you will provide analytically sound risk models that inform credit decisions by PACCAR’s finance organizations in Europe, North America, Latin America, and Australia, as well as senior management and company executives. You will utilize your education and work experience to drive new projects and improvements to existing processes. Company executives and analytic partners will rely on you for timely, trustworthy, and relevant business insights gained through best practices in data science and advanced analytic techniques. Success in this role will hinge on your curiosity, ability to work well in ambiguity, a passion for learning, and adept communication skills.

Job Functions / Responsibilities

• Manage and document the full lifecycle of analytic projects from problem statement through solution performance monitoring.
• Employ appropriate AI/ML algorithms in creation and deployment of models that support initiatives for risk analysis and automated credit decisioning.
• Leverage emerging technologies to continuously increase the value of PACCAR’s data assets
  • Expand and enhance the department’s BI capabilities by developing automated deployment pipelines, and data processing applications using on-premise and cloud-based tools.
  • Maintain strong working relationships with IT departments and regional credit offices to facilitate adoption of digital transformation initiatives.
  • Confidently present improvement ideas and technical solutions, that enhance business impact and reduce programmatic risk, to senior managers and executives.
• Develop and implement process improvements leveraging AI to enhance data analysis and modeling capabilities, increasing the speed, accuracy, and efficiency of our work.
• Support organizational objectives as an integral member of an effective cross-functional credit and risk analytics team

Skills / Competencies

Required Experience/Skills/Competencies

• Bachelor’s degree in Computer Science, MIS, Business Analytics, Statistics or related field
• 5+ years of applicable job experience.
• Demonstrated experience leading data projects from inception to deployment. Including building relationship with stakeholders and targeting strategic outcomes.
• Must be a highly motivated self-directed learner with a creative mind, insatiable curiosity, and meticulous attention to detail.
• Strong statistical foundation combined with proficiency in machine learning algorithms including logistic regression, chi-squared testing, ROC curves, ensemble methods, and automated machine learning platforms to drive data-driven insights and model performance optimization.
• Advanced proficiency with SQL and Snowflake querying and use of relational database platforms such as SQL Server, Oracle, MySQL, etc.
• Proficiency in data-centric programming languages such as Python or R.
• Experience deploying models to production and supporting model monitoring.
• Experience with machine learning models (e.g., gradient boosting, random forests, XGBoost/LightGBM).
• Experience with the AWS suite, specifically Amazon S3, AWS Lambda, and Apache Airflow.
• Excellent general business acumen, with the ability to clearly and concisely communicate complex topics.
• Hands-on data modeling experience and proficiency with data visualizations.

Preferred Experience/Skills/Competencies

• MBA or Master’s degree in Computer Science, MIS, or related field.
• Professional certifications such as PMP, FRM, or related industry certifications from AWS, Google Analytics, etc.
• Experience with large language models (LLMs), retrieval-augmented generation (RAG), or autonomous agent frameworks to develop and deploy machine learning models and AI agents that automate data analysis workflows and drive actionable insights from complex datasets.
• Experience with version control (Git) and collaborative analytics workflows.
• Strong understanding of commercial financial principles.

Benefits

• 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 also eligible for a holiday gift.

Additional Job Information

PACCAR is an E-Verify and Equal Opportunity Employer/Protected Veteran/Disability. 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 the Associate Data Scientist position is $90,400 -$141,800 annually. Additionally, this role is eligible for the full range of benefit options listed above.