Data Scientist
About The Position
As a Data Scientist, you will 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 will support others by being a technical lead to foster 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 will 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.
Requirements
- Bachelor’s Degree required (quantitative 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.
Nice To Haves
- Masters in Data Science, Mathematics/Statistics, Computer Science, or related field preferred.
- 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.
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.
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 eligible for a holiday gift
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
