Data Scientist - Lewisville, TX, United States - PACCAR

PACCAR Lewisville, TX, United States

2 weeks ago

Description

Requisition Summary

Join the PACCAR Global Quality team as a Data Scientist, where your role will be central to advancing product reliability through the application of continuous improvements, advanced analytics, and cloud-based solutions. Your work will directly contribute to PACCAR's immediate and strategic future, reinforcing our dedication to setting a high standard within our team. We foster a collaborative workspace that highly values the exchange of knowledge, as well as the infusion of fresh perspectives. Embrace the chance to become an integral part of our dedicated and growing team, where you can shape the future of quality and innovation at PACCAR. This role is based out of the PACCAR Corporate Office in Lewisville, TX.

This Data Scientist will be tasked with creating, implementing, and sustaining advanced analytics models that assist PACCAR in designing and validating highly effective and reliable products. They will leverage telematics, call center, warranty, test, and production data to unlock decision-making on prognostics and targeted design actions. This role will focus on strategic projects that have a high impact on product quality and customer uptime.

Job Functions / Responsibilities

Extract, clean, merge, transform and compile data from various data sources, including relational database, flat files, NoSQL databases and unstructured data
Develop full data science lifecycle projects (from exploratory analysis and hypothesis testing to model deployment and monitoring) with a focus on pragmatic solutions
Extract signal from data by analyzing correlations, detecting anomalies, performing dimensionality reduction, parsing text, and recommending data quality solutions
Create materials on data projects, data science architecture and analytics strategies
Generate machine learning models that incorporate diverse data types such as text, images, and tabular data into a unified model
Effectively communicate insights and recommendations derived from data analysis to various stakeholders, including leadership
Assess the effectiveness and accuracy of new data sources and analytics techniques
Introduce improvements to increase the speed, accuracy and efficiency of advanced analytics across the organization
Provide accurate, relevant and meaningful ad-hoc analysis to management to support strategic and tactical decision-making

Qualifications & Skills

Required:

Bachelor's degree in Data Science or arelated field, and2+ years of applicable job experience
Deep understanding of statistical techniques, linear algebra, modeling, machine learning andMicrosoft Office Suite
Experience with probability models,synthetic data generation, Command Line Essentials and Git workflow
Familiarity with deep learning, NLP algorithms,optimization techniques and cloud services especially storage and compute like AWS, Azureor GCP
Experience designing and implementing AB testing frameworks
Experience with programming (R, Python) software engineering concepts (OOP, API development) SQL coding,structured and unstructured databases/data warehouses and pipelines (ETL, Machine Learning)
Proven track record of participating in projects in a highly collaborative, multi-disciplinary team environment
Ability to define and iterate over minimum viable product, and maintain balance between solid "pragmatism" and "scientific rigor" to meet the needs of a dynamic business

Preferred:

Master's degree or PhD in Data Science or related field
Demonstrate in-depth understanding of data structures
Experience with container deployments (Docker, Kubernetes, ECS), MLOps including test automation, model retraining and continuous operations of ML systems
Familiarity with the LLMOps framework for integrating machine learning models into production environments
Experience working with big data (Scala, Spark)
Familiarity working in reliability/survival analytics and understanding of Python design patterns

Benefits

As a U.S. PACCAR employee, you have a full range of benefit options including:

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 additionalseniority/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.

#LI-CP1

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Data Scientist - Lewisville, TX, United States - PACCAR

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