Data Scientist

NXP Semiconductors • Austin, TX

7d • $101,230 - $101,230

About The Position

Designs, develops and performs data scientist responsibilities in conjunction with NXP’s global operations business unit from product definition and planning through production, release and end of life. Serves as the central resource with design, process, manufacturing, test, and quality. Identify business needs and propose appropriate data system or tool solutions. Partner with software vendors to align internal development efforts with their roadmaps. Mine and analyze data from company databases to identify pain points and create continuous improvement strategies. Assess the effectiveness and accuracy of new and existing data sources and identify root causes of errors. Develop custom data models and algorithms and analyze/monitor model performance to improve operational metrics. Involvement lasts throughout all stages of a product’s lifecycle including modifications, upgrades and maintenance of the product or product line.

Requirements

• Bachelor degree in Computer Science, Data Science, foreign equivalent or related field.
• Knowledge gained via completion of a university-level course, research project, internship or related occupation involving: React js
• Retool, MongoDB, GraphQL
• Intermediate Programming with Python
• Programming in C/C++
• Data Structures Implementation and Analysis
• Machine Learning/Data Mining
• Design and Analysis of Algorithms, Graph Algorithms, and Algorithm Graph Models
• Neural Networks and Deep Learning

Responsibilities

• Designs, develops and performs data scientist responsibilities in conjunction with NXP’s global operations business unit from product definition and planning through production, release and end of life.
• Serves as the central resource with design, process, manufacturing, test, and quality.
• Identify business needs and propose appropriate data system or tool solutions.
• Partner with software vendors to align internal development efforts with their roadmaps.
• Mine and analyze data from company databases to identify pain points and create continuous improvement strategies.
• Assess the effectiveness and accuracy of new and existing data sources and identify root causes of errors.
• Develop custom data models and algorithms and analyze/monitor model performance to improve operational metrics.
• Involvement lasts throughout all stages of a product’s lifecycle including modifications, upgrades and maintenance of the product or product line.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level