Back to Jobs
XX
Data ScientistPACCARUnited States
XX

Data Scientist

PACCAR
  • US
    United States
  • US
    United States

About

Data Scientist
Location: Renton, WA, US, 98055 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: Salary Range: $104,100 - $146,630 annually PACCAR is an Equal Opportunity Employer/Protected Veteran/Disability. 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. PACCAR Parts is the global provider of aftermarket parts and services to support Kenworth, Peterbilt, DAF and TRP dealers around the world. 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.
  • United States

Languages

  • English
Notice for Users

This job comes from a TieTalent partner platform. Click "Apply Now" to submit your application directly on their site.