<h3>Make the career move that's right for you.</h3>Posted: 07/11/2024 2024-07-11 2024-10-17 Industry: Other Area(s) Job Number: 1521 Pay Rate: 150,000<h3>Job Description</h3>Overview: Our Client is seeking a highly skilled and experienced Sr. Data Scientist Lead to join our Analytics team. As the commercial vehicle industry undertakes its most significant transformation in a century, our client is on a mission to redefine transportation. Embracing a bold digital transformation, our client is ushering in a new era of complete and sustainable transport solutions. The ideal candidate will be responsible for developing analytic models and solutions with a focus on vehicle electrification and parts supply chain. You will work on challenging and high-impact projects that leverage data from various sources and systems to optimize vehicle performance, energy efficiency, and parts availability. This role requires a well-rounded individual with not only experience in modeling but also in visualization, data engineering, storytelling, and agile methodologies. You will also lead and mentor other data scientists and analysts in the team and share your knowledge and best practices.Responsibilities: <ol><li>Applying advanced statistical and machine learning techniques to build predictive and prescriptive models for vehicle electrification and supply chain optimization.</li><li>Creating data pipelines and workflows to ingest, process, and analyze large and complex data sets from various sources and systems.</li><li>Developing and deploying scalable and robust solutions using cloud-based platforms and tools such as Databricks, Spark, and Azure ML.</li><li>Visualizing and communicating the insights and recommendations to various audiences using tools such as Python and Power BI.</li><li>Working in an agile environment and following the best practices of version control, testing, and documentation using tools such as git and Azure DevOps.</li><li>Staying updated with the latest trends and developments in data science, vehicle electrification, and supply chain optimization.</li><li>Lead and mentor junior team members, fostering an environment of continuous learning and growth.</li></ol>Qualifications: <ul><li>Bachelor’s degree in Computer Science, Statistics, Data Science/Analytics, Management Information Systems, Mathematics, Natural Science, Economics, Engineering or similar quantitative field</li><li>At least 8 years of analytics or statistical analysis experience</li><li>1 year of lead experience</li></ul>OR<ul><li>Master’s degree in Computer Science, Statistics, Data Science/Analytics, Management Information Systems, Mathematics, Natural Science, Economics, Engineering or similar quantitative field</li><li>At least 6 years of analytics or statistical analysis experience</li><li>1 year of lead experience</li></ul>OR<ul><li>PhD in Computer Science, Statistics, Data Science/Analytics, Management Information Systems, Mathematics, Natural Science, Economics, Engineering or similar quantitative field</li><li>At least 3 years of analytics or statistical analysis experience</li><li>1 year of lead experience</li></ul>
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Position Overview:

Navistar is looking for an experienced and talented Data Scientist who will lead projects that use time-based vehicle data to develop toolsets to expedite vehicle development for durability, performance and life prediction of component, sub-system, and vehicle level. These toolsets will support vehicle design and development across R&D and will be available across the Traton group enterprise. The department will build a suite of applications using vehicle CAN data, environmental information, and adjacent vehicle applications to continuously improve the design and performances across all vehicle models.
Responsibilities:
Develop analytic models using vehicle connected data to improve vehicle design.
Build empirical remaining useful life models for every component of the vehicle that affects uptime.
Using vehicle IoT from onboard sensors, ECUs and other telematic information, provide design insights for engineers to optimize vehicle design, performance efficiency and uptime.
Correlate information from off-board sources to support analytical models and optimize vehicle design.
Work with Digital Service Solutions team to offer commercial versions of correlated engineering analytical models.
Minimum Requirements:
Currently pursuing a Bachelors degree in Computer Science, Statistics, Data Science/Analytics, Management Information Systems, Mathematics, Natural Science, Economics, Engineering or similar quantitative field and no experience and will obtain degree prior to first day of employment
OR
Bachelors degree in Computer Science, Statistics, Data Science/Analytics, Management Information Systems, Mathematics, Natural Science, Economics, Engineering or similar quantitative field
Additional Requirements:    Qualified candidates, excluding current Navistar employees, must be legally authorized on an unrestricted basis (US Citizen, Legal Permanent Resident, Refugee or Asylee) to be employed in the United States. Navistar does not anticipate providing employment related work sponsorship for this position (e.g., H-1B status)
Desired Skills:    Engineering degree in mechanical engineering , electrical/computer engineering, computational mechanics, or physics
Experience writing code for data processing and engineering modeling in Python and SQL, visualization programs like Power BI
Strong background in automotive and transportation system product development
Aptitude for learning new systems and using adjacent industries to improve Truck and Bus development.
Ability to understand complex topics and break them down into actionable tasks.
Strong communication and organizational skills
Critical thinking and problem solving

Company Overview:
Navistar, Inc. (Navistar) is a purpose-driven company, reimagining how to deliver what matters to create more cohesive relationships, build higher-performing teams and find solutions where others dont.
Based in Lisle, Illinois, Navistar or its subsidiaries and affiliates produce International brand commercial trucks and engines, IC Bus brand school and commercial buses, all-makes OnCommand Connection advanced connectivity services, and Fleetrite, ReNEWeD and Diamond Advantage brand aftermarket parts.
With a history of innovation dating back to 1831, Navistar has more than 14,500 employees worldwide and is part of TRATON SE, a global champion of the truck and transport services industry. Additional information is available at www.Navistar.com.
Accelerating the Impact of Sustainable Mobility:
Visit us at  www.Navistar.com  to discover more about our organization.

Navistar is an Equal Opportunity Employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics.

If you are a qualified individual with a disability and require a reasonable accommodation to access the online application system or participate in the interview process due to your disability, please email  HRC@Navistar.com  to request assistance. Kindly specify Job Requisition Number / Job Title and Location in response. Otherwise, your request may not be considered.

#ridewithnavistar

Position Overview: Navistar is seeking a highly skilled and experienced Data Scientist Lead to join our Analytics team. As the commercial vehicle industry undertakes its most significant transformation in a century, Navistar is on a mission to redefine transportation. Embracing a bold digital transformation, Navistar is ushering in a new era of complete and sustainable transport solutions. The ideal candidate will be responsible for developing analytic models and solutions with a focus on vehicle electrification and parts supply chain. You will work on challenging and high-impact projects that leverage data from various sources and systems to optimize vehicle performance, energy efficiency, and parts availability. This role requires a well-rounded individual with not only experience in modeling but also in visualization, data engineering, storytelling, and agile methodologies. Responsibilities: <ul> <li>Gather, organize, and interpret structured and unstructured data from multiple internal and external sources </li><li>Analyzing large and complex datasets to identify trends, patterns, and insights to measure performance and inform business growth or cost savings opportunities </li><li>Extract key results from uncleansed data, and succinctly summarize findings to both technical and non-technical stakeholders </li><li>Work independently, but recognize where key points of collaboration are required to facilitate wider product development </li><li>Experience in time series forecasting models, statistical methods such as (S)ARIMA, exponential smoothing or machine learning algorithms for demand forecasting </li><li>Staying updated with the latest trends and developments in data science, vehicle electrification, and supply chain optimization </li><li>Research new theories and technologies to solve business problems </li><li>Demonstrate resilience in dealing with ambiguity/uncertainty and translating vague requests into actionable insights </li></ul> Minimum Requirements: <ul> <li>Bachelors degree in Computer Science, Statistics, Data Science/Analytics, Management Information Systems, Mathematics, Natural Science, Economics, Engineering or similar quantitative field </li><li>At least 5 years of analytics or statistical analysis experience </li></ul> OR <ul> <li>Masters degree in Computer Science, Statistics, Data Science/Analytics, Management Information Systems, Mathematics, Natural Science, Economics, Engineering or similar quantitative field </li><li>At least 3 years of analytics or statistical analysis experience </li></ul> OR <ul> <li>PhD in Computer Science, Statistics, Data Science/Analytics, Management Information Systems, Mathematics, Natural Science, Economics, Engineering or similar quantitative field </li></ul>Additional Requirements: <ul> <li>Qualified candidates, excluding current Navistar employees, must be legally authorized on an unrestricted basis (US Citizen, Legal Permanent Resident, Refugee or Asylee) to be employed in the United States. Navistar does not anticipate providing employment related work sponsorship for this position (e.g., H-1B status) </li> </ul>Desired Skills: <ul> <li>Professional experience with a variety of machine learning algorithms, including supervised and unsupervised learning, classification, regression, and forecasting </li><li>Strong programming skills using Python and tools such as Synapse, Databricks, and Palantir Foundry </li><li>Strong problem-solving skills and business acumen. Ability to deal with ambiguity and find creative ways to solve problems </li><li>Comfortable with collaboration on code development and version control using Git </li><li>Proficiency in data engineering principles and use languages including SQL, Python, Spark, and Palantir Foundry for data preprocessing </li><li>Experience with cloud computing, preferably Azure </li><li>Demonstrated ability in data visualization and storytelling to effectively communicate findings through tools such as PowerBI, Streamlit, Palantir Workshop or other visualization tools </li><li>Experience with agile methodologies and project management using tools such as Azure DevOps </li><li>Ability to work within cross functional teams including Data Engineers, Analysts, Domain Experts, Product Owners, and other Data Scientists </li></ul> Company Overview: Navistar, Inc. (Navistar) is a purpose-driven company, reimagining how to deliver what matters to create more cohesive relationships, build higher-performing teams and find solutions where others dont. Based in Lisle, Illinois, Navistar or its subsidiaries and affiliates produce International brand commercial trucks and engines, IC Bus brand school and commercial buses, all-makes OnCommand Connection advanced connectivity services, and Fleetrite, ReNEWeD and Diamond Advantage brand aftermarket parts. With a history of innovation dating back to 1831, Navistar has more than 14,500 employees worldwide and is part of TRATON SE, a global champion of the truck and transport services industry. Additional information is available at www.Navistar.com. Accelerating the Impact of Sustainable Mobility: Visit us at www.Navistar.com to discover more about our organization Navistar is an Equal Opportunity Employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics. If you are a qualified individual with a disability and require a reasonable accommodation to access the online application system or participate in the interview process due to your disability, please email HRC@Navistar.com to request assistance. Kindly specify Job Requisition Number / Job Title and Location in response. Otherwise, your request may not be considered. #ridewithnavistar Job Posting: #LI-Hybrid, #LI-POST

Develop analytic models using vehicle connected data to improve vehicle design. Build empirical remaining useful life models for every component of the vehicle that affects uptime. Using vehicle IoT from onboard sensors, ECUs and other telematic inf Data Scientist, Computer Science, Data Science, Scientist, International, Mathematics, Manufacturing, Technology

Position Overview: Navistar is looking for an experienced and talented Data Scientist who will lead projects that use time-based vehicle data to develop toolsets to expedite vehicle development for durability, performance and life prediction of component, sub-system, and vehicle level. These toolsets will support vehicle design and development across R&D and will be available across the Traton group enterprise. The department will build a suite of applications using vehicle CAN data, environmental information, and adjacent vehicle applications to continuously improve the design and performances across all vehicle models. Responsibilities: <ul> <li>Develop analytic models using vehicle connected data to improve vehicle design. </li><li>Build empirical remaining useful life models for every component of the vehicle that affects uptime. </li><li>Using vehicle IoT from onboard sensors, ECUs and other telematic information, provide design insights for engineers to optimize vehicle design, performance efficiency and uptime. </li><li>Correlate information from off-board sources to support analytical models and optimize vehicle design. </li><li>Work with Digital Service Solutions team to offer commercial versions of correlated engineering analytical models. </li></ul>Minimum Requirements: <ul> <li>Currently pursuing a Bachelors degree in Computer Science, Statistics, Data Science/Analytics, Management Information Systems, Mathematics, Natural Science, Economics, Engineering or similar quantitative field and no experience and will obtain degree prior to first day of employment </li></ul> OR <ul> <li>Bachelors degree in Computer Science, Statistics, Data Science/Analytics, Management Information Systems, Mathematics, Natural Science, Economics, Engineering or similar quantitative field </li></ul>Additional Requirements: <ul> <li>Qualified candidates, excluding current Navistar employees, must be legally authorized on an unrestricted basis (US Citizen, Legal Permanent Resident, Refugee or Asylee) to be employed in the United States. Navistar does not anticipate providing employment related work sponsorship for this position (e.g., H-1B status) </li> </ul>Desired Skills: <ul> <li>Engineering degree in mechanical engineering , electrical/computer engineering, computational mechanics, or physics </li><li>Experience writing code for data processing and engineering modeling in Python and SQL, visualization programs like Power BI </li><li>Strong background in automotive and transportation system product development </li><li>Aptitude for learning new systems and using adjacent industries to improve Truck and Bus development. </li> <li>Ability to understand complex topics and break them down into actionable tasks. </li><li>Strong communication and organizational skills </li><li>Critical thinking and problem solving </li></ul> Company Overview: Navistar, Inc. (Navistar) is a purpose-driven company, reimagining how to deliver what matters to create more cohesive relationships, build higher-performing teams and find solutions where others dont. Based in Lisle, Illinois, Navistar or its subsidiaries and affiliates produce International brand commercial trucks and engines, IC Bus brand school and commercial buses, all-makes OnCommand Connection advanced connectivity services, and Fleetrite, ReNEWeD and Diamond Advantage brand aftermarket parts. With a history of innovation dating back to 1831, Navistar has more than 14,500 employees worldwide and is part of TRATON SE, a global champion of the truck and transport services industry. Additional information is available at www.Navistar.com. Accelerating the Impact of Sustainable Mobility: Visit us at www.Navistar.com to discover more about our organization. Navistar is an Equal Opportunity Employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics. If you are a qualified individual with a disability and require a reasonable accommodation to access the online application system or participate in the interview process due to your disability, please email HRC@Navistar.com to request assistance. Kindly specify Job Requisition Number / Job Title and Location in response. Otherwise, your request may not be considered. #ridewithnavistar

Position Overview Connected Vehicle - Data Scientist Intern Summer 2025 Were International. We build International trucks and engines and IC Bus school and commercial buses, as well as develop Fleetrite aftermarket parts. In everything we do, our vision is to accelerate the impact of sustainable mobility to create the cleaner, safer world we all deserve. Join Us as a Connected Vehicle - Data Scientist Intern We are looking for two interns this summer, one as a Mechanical Engineer & the other a Data Specialist. Some of the things our interns will work on will be to design, develop and program methods, processes, and systems to consolidate and analyze unstructured, diverse big data sources to generate actionable insights and solutions for client services and product enhancement. Interns will interact with product and service teams to identify questions and issues for data analysis and experiments. About the Intern Program 12 week program with start dates on: May 12 or 19 or June 240 hours per weekMust graduate between December 2025 - May 2027 Responsibilities Assist in the collection, processing, and analysis of large datasets from various sources, including vehicle sensors, telematics, and production systems Develop and implement machine learning models and algorithms to solve complex problems related to vehicle performance, predictive maintenance, and operational efficiency Collaborate with cross-functional teams, including engineers, software developers, and business analysts, to identify data-driven solutions and opportunities Participate in the development of data visualization tools and dashboards to communicate insights and findings to stakeholders Conduct exploratory data analysis and statistical modeling to support research and development projects Prepare technical documentation, reports, and presentations to share results and recommendations Minimum Requirements Pursuing a Bachelors or Masters degree Additional Requirements Qualified candidates, excluding current International Motors employees, must be legally authorized on an unrestricted basis (US Citizen, Legal Permanent Resident, Refugee or Asylee) to be employed in the United States. International Motors does not anticipate providing employment related work sponsorship for this position (e.g., H-1B or F-1 status) Desired Skills Minimum required cumulative GPA of 3.0 on a 4.0 scale Currently pursuing a Bachelors or Masters degree in Computer Science, Statistics, Data Science/Analytics, Management Information Systems, Mathematics, Natural Science, Economics, Engineering or similar quantitative field Strong analytical and problem-solving skills Excellent communication and teamwork abilities Previous internship or project experience in automotive engineering is preferred Strong communication and organizational skills Critical thinking and problem solving Previous internships or work experience is a plus Ability to work independently Benefits and Compensation The expected compensation hourly pay ranges for hires into our 2025 campus intern openings is $24 - $38/hour. Hourly pay is based on year in school and is non-negotiable. Company Overview At International Motors, LLC (International), weve never backed away from forging our own path. Our openness and ability to meet customers where they are, combined with our curious mindset is what defines us as a company. And as individuals. With big changes ahead for the commercial vehicle industry, and people counting on us to keep things moving, we say: bring on the journey. ABOUT INTERNATIONALFrom a one-man company built on the world-changing invention of the McCormick reaper in 1831, to the 15,000-person-strong company we are today, few companies can lay claim to a history like International. Based in Lisle, Illinois, International Motors, LLC creates solutions that deliver greater uptime and productivity to our customers throughout the full operation of our commercial vehicles. We build International trucks and engines and IC Bus school and commercial buses that are as tough and as smart as the people who drive them. We also develop Fleetrite aftermarket parts. In everything we do, our vision is to accelerate the impact of sustainable mobility to create the cleaner, safer world we all deserve. As of 2021, we joined Scania, MAN and Volkswagen Truck & Bus in TRATON GROUP, a global champion of the truck and transport services industry. To learn more, visit www.International.com (https://www.international.com/our-company) . International Motors, LLC is d/b/a International Motors USA in Illinois, Missouri, New Jersey, Ohio, Texas, and Utah. EEO Statement International is an Equal Opportunity Employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics. If you are a qualified individual with a disability and require a reasonable accommodation to access the online application system or participate in the interview process due to your disability, please email HUBNavistar.com to request assistance. Kindly specify Job Requisition Number / Job Title and Location in response. Otherwise, your request may not be considered.

Assist in the collection, processing, and analysis of large datasets from various sources, including vehicle sensors, telematics, and production systems Develop and implement machine learning models and algorithms to solve complex problems related to Data Scientist, Vehicle, Scientist, Intern, International, Motors, Manufacturing, Technology

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Data Scientist Jobs in Lisle, IL

Senior Data Scientist Lead BrandDecember 7, 2024

Data ScientistDecember 3, 2024

Data Scientist LeadDecember 1, 2024

Entrylevel Data ScientistNovember 29, 2024

Data ScientistNovember 28, 2024

Connected Vehicle Data Scientist InternNovember 26, 2024

Connected Vehicle Data Scientist InternNovember 24, 2024