Saxon Global
Data Scientist / Engineer
Saxon Global, Greensboro, North Carolina, us, 27497
Description:Collect, visualize & analyse data for opportunities / problems defined by the business. Able to extract and structure data using specialized analytics tools. Build data models and standard reports and tools for a wider user community.
What You Will be DoingThe Engineering Team is dedicated to advancing the development of digital models for the simulation-based verification and validation of designs. Your role will involve the challenging task of assisting our team in collecting and analyzing data from various sources to enhance the correlation between our digital twin models and physical testing.
This collaborative effort will include working closely with our Features and Verification/Validation department, evaluating physical testing data to refine the digital twin model for the strength and durability of different components and sub-systems.
To broaden our understanding of statistics related to future planning for passive safety development, you will leverage external resources such as government databases.
We seek a skilled and customer-focused engineer capable of effective communication with component stakeholders across the organization. Your role will help ensure that components and systems meet performance standards and life expectancy.
The selected candidate is expected to provide professional expertise as a data analyst to subject matter experts in the vehicle engineering organization. This includes innovating ways to leverage data for process improvement, leading with limited supervision, performing complex analysis, reporting results to stakeholders, and recommending areas of improvement to designs.
Moreover, the chosen candidate will champion the enhancement of our Computer-Aided-Engineering (CAE) methodology to increase the accuracy and efficiency of our simulation models to ultimately drive the implementation of digital twin technologies.
Responsibilities• Translate data into engineering presentations that clearly communicate to the engineers the findings and how the outcome can be utilized in correlating simulation models to physical testing• Work with engineering, testing, and project teams to plan, develop, and coordinate test plans, provide instrumentation roadmaps, and interpret test data to make design recommendations• Synthesize information from a variety of resources (simulation/test results, technical requirements, historical data etc.) and identify areas of improvement for various functional aspects of heavy duty trucks, and form actionable technical recommendations for stakeholders across the engineering organization• Champion quality and effectiveness of best practices, tools, and methods• Coordinate with global technical strategy teams on developing and improving simulation strategies through collected data analysis• Work cooperatively with cross-functional teams to translate and interpret durability, crash, and NVH data to help drive digital twin models• Communicate results effectively to project and feature leaders across the organization
Education and Experience• Bachelor's Degree in Computer Science, Engineering or a related field, Master's Degree preferred• 5 years of experience in data analysis with experience in the automotive or transportation industry. Heavy duty vehicle experience is preferred.• Strong background in fundamentals of durability and fatigue analysis• Experienced in data visualization is required (PowerBI and advanced analytics)• Agile methodology• Familiarity with Database Management Systems (BDMS) and proficiency in querying and manipulating data using SQL.• Proficiency in statistical analysis tools and programming languages such as Python and SQL.• Understanding of machine learning techniques for data analysis, and the ability to apply statistical methods to extract insights and make data-driven decisions.• Experience in machine learning techniques for predictive modelling.• Understanding of the Agile methodology and way of working.
Required Skills : Data Scientist/Engineer with Automotive/Aerospace design experience. Python and SQL required. Curating 200TB of data to assist with engineering team use cases supporting vehicle design decisionsBackground Check :YesDrug Screen :YesNotes :Selling points for candidate :Project Verification Info :"The information provided below is for Apex Systems AV use only and is not to be distributed publicly, or to any third party. Any distribution of the below information will result in corrective action from Apex Systems Vendor Management. Client Letter: Will Not Provide"Candidate must be your W2 Employee :YesExclusive to Apex :NoFace to face interview required :NoCandidate must be local :YesCandidate must be authorized to work without sponsorship ::NoInterview times set : :NoType of project :Master Job Title :Branch Code :
What You Will be DoingThe Engineering Team is dedicated to advancing the development of digital models for the simulation-based verification and validation of designs. Your role will involve the challenging task of assisting our team in collecting and analyzing data from various sources to enhance the correlation between our digital twin models and physical testing.
This collaborative effort will include working closely with our Features and Verification/Validation department, evaluating physical testing data to refine the digital twin model for the strength and durability of different components and sub-systems.
To broaden our understanding of statistics related to future planning for passive safety development, you will leverage external resources such as government databases.
We seek a skilled and customer-focused engineer capable of effective communication with component stakeholders across the organization. Your role will help ensure that components and systems meet performance standards and life expectancy.
The selected candidate is expected to provide professional expertise as a data analyst to subject matter experts in the vehicle engineering organization. This includes innovating ways to leverage data for process improvement, leading with limited supervision, performing complex analysis, reporting results to stakeholders, and recommending areas of improvement to designs.
Moreover, the chosen candidate will champion the enhancement of our Computer-Aided-Engineering (CAE) methodology to increase the accuracy and efficiency of our simulation models to ultimately drive the implementation of digital twin technologies.
Responsibilities• Translate data into engineering presentations that clearly communicate to the engineers the findings and how the outcome can be utilized in correlating simulation models to physical testing• Work with engineering, testing, and project teams to plan, develop, and coordinate test plans, provide instrumentation roadmaps, and interpret test data to make design recommendations• Synthesize information from a variety of resources (simulation/test results, technical requirements, historical data etc.) and identify areas of improvement for various functional aspects of heavy duty trucks, and form actionable technical recommendations for stakeholders across the engineering organization• Champion quality and effectiveness of best practices, tools, and methods• Coordinate with global technical strategy teams on developing and improving simulation strategies through collected data analysis• Work cooperatively with cross-functional teams to translate and interpret durability, crash, and NVH data to help drive digital twin models• Communicate results effectively to project and feature leaders across the organization
Education and Experience• Bachelor's Degree in Computer Science, Engineering or a related field, Master's Degree preferred• 5 years of experience in data analysis with experience in the automotive or transportation industry. Heavy duty vehicle experience is preferred.• Strong background in fundamentals of durability and fatigue analysis• Experienced in data visualization is required (PowerBI and advanced analytics)• Agile methodology• Familiarity with Database Management Systems (BDMS) and proficiency in querying and manipulating data using SQL.• Proficiency in statistical analysis tools and programming languages such as Python and SQL.• Understanding of machine learning techniques for data analysis, and the ability to apply statistical methods to extract insights and make data-driven decisions.• Experience in machine learning techniques for predictive modelling.• Understanding of the Agile methodology and way of working.
Required Skills : Data Scientist/Engineer with Automotive/Aerospace design experience. Python and SQL required. Curating 200TB of data to assist with engineering team use cases supporting vehicle design decisionsBackground Check :YesDrug Screen :YesNotes :Selling points for candidate :Project Verification Info :"The information provided below is for Apex Systems AV use only and is not to be distributed publicly, or to any third party. Any distribution of the below information will result in corrective action from Apex Systems Vendor Management. Client Letter: Will Not Provide"Candidate must be your W2 Employee :YesExclusive to Apex :NoFace to face interview required :NoCandidate must be local :YesCandidate must be authorized to work without sponsorship ::NoInterview times set : :NoType of project :Master Job Title :Branch Code :