PACCAR Technical Center Advanced Analytics is looking for a Data Scientist interested in all aspects of the data science cycle. A successful candidate will be curious, self-driven, analytical and excited to play with data.
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 premium light-, medium- and heavy-duty trucks under the Kenworth, Peterbilt and DAF nameplates 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!
Division Information
The PACCAR Technical Center provides engineering excellence to the truck, engine, and winch divisions of PACCAR Inc through innovative product development and testing. The Technical Center is located in the Skagit Valley about 65 miles north of Seattle, Washington.
Job Functions / Responsibilities
Solve business problems using advanced statistical techniques including but not limited to regression/logistic regression, bootstrapping, decision trees, gradient boosting, neural network, clustering & binning, time series forecasting, and market basket analysis
Ability to develop experimental and analytic plans for data modeling processes, use of strong baselines, ability to accurately determine cause and effect relations
Build and operationalize data pipelines, analytical tools and decision support models
Creatively identify and pursue predictive analytics opportunities to solve business problems and drive value
Implement data science best practices
Define and evaluate key metrics and understand what moves them and why
Ownership of conceptualizing, developing, and maintaining dashboards and visualizations
Strategize on making analyses easily repeatable and accessible
Proactively identify and develop expertise in new technologies, methodologies, and techniques
Communicating technical ideas to non-technical stakeholders by translating complex findings and results into a compelling narrative
Qualifications
Required Qualifications & Skills
Bachelors in a quantitative field, Master’s degree is a plus, and 2+ years of industry experience
Solid understanding of analytics techniques and statistics
Ability to write clean and concise code, especially in Python
Knowledge and experience of writing and tuning SQL