Pay
In line with similar jobs
$91.5K–$148K against $118K–$193K, the middle half of what similar US postings state.
From 3,721 postings in the last year. Stated ranges, not salaries paid.
Remote, Michigan, United States
Live, first seen by us 77 days agoPay Range: $91,500.00 - $148,100.00 The above pay range reflects the minimum and maximum target pay for the position across all U.S. locations. Within this range, individual pay is determined by various factors, including the scope and responsibilities of the role, the candidate's experience, education and skills, as well as the equity of pay among team members in similar positions. Beyond offering a competitive total rewards package, we prioritize a people-first culture and offer various opportunities to support team member growth and success.Read the full posting
Listed location: Remote, Michigan, United StatesRead the full posting
Employment type in the employer’s posting: Full timeFrom the employer’s posting
Process and analyze vehicle data on Hadoop (HDFS) across vehicle platforms
Find patterns, anomalies and trends with machine learning in high-volume data
Support diagnostics, prognostics and intelligent preventive maintenance strategy
Support or lead development of intelligent vehicle control using data analytics
Help prepare feasibility studies, project estimates and funding proposals
Conduct data processing and data analytics on Hadoop Distributed File Systems (HDFS) for different vehicle platforms based on internal or external customer requests.
Responsible for manipulating high-volume, high-dimensionality data in cloud or on-premises from varying sources to highlight patterns, anomalies, relationships and trends with machine learning techniques
Work on the technical aspects of advanced diagnostics and prognostics and support the validation and verification of the intelligent preventive maintenance strategy using statistics and machine learning techniques.
Support or lead the development of intelligent control of on or off-road vehicle or machineries using data analytics techniques.
Assist or direct feasibility studies and project estimates (manpower, budget development, and timelines, etc.) on proposed research and development projects.
Bachelor's degree in computer science, data science or a related field and 8-plus years related experience or Master’s degree in data science and five (5) or more years of related experience or Ph.D. degree in data science with 2 years of related experience.
MINIMUM QUALIFICATIONS: - Accredited Bachelor's degree in computer science, data science or related field with five (5) or more years of related experience. STANDOUT QUALIFICATIONS:
STANDOUT QUALIFICATIONS: - Bachelor's degree in computer science, data science or a related field and 8-plus years related experience or Master’s degree in data science and five (5) or more years of related experience or Ph.D. degree in data science with 2 years of related experience. - Work experiences on statistics, artificial intelligence, data analytics or machine learning.
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In line with similar jobs
$91.5K–$148K against $118K–$193K, the middle half of what similar US postings state.
From 3,721 postings in the last year. Stated ranges, not salaries paid.
Day 77
Up longer than most. Similar jobs usually come down between day 7 and day 55.
From 10,000 similar postings that came down. Coming down is not always a hire.
3 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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- Work experiences on statistics, artificial intelligence, data analytics or machine learning. - Work knowledge of telematics interfaces, data file systems (Hadoop) and data processing techniques (Kafka, Impala, or Map Reduce, etc.), database (SQL or NoSQL), data modeling and data virtualization tools in Python, R or Java/C/C++. CORE COMPETENCIES:
- Conduct data processing and data analytics on Hadoop Distributed File Systems (HDFS) for different vehicle platforms based on internal or external customer requests. - Responsible for manipulating high-volume, high-dimensionality data in cloud or on-premises from varying sources to highlight patterns, anomalies, relationships and trends with machine learning techniques using modeling tools (such as JMP, SAS, or Anaconda, Dataiku or alike). - Support or lead the development of intelligent control of on or off-road vehicle or machineries using data analytics techniques.
- Conduct independent research on new technologies in cloud-based data analytics and establish requirements (resources, equipment, estimates, test plans, and milestones) and roadmap according to the needs of a project under the guidance of the supervisor. - Conduct data processing and data analytics on Hadoop Distributed File Systems (HDFS) for different vehicle platforms based on internal or external customer requests. - Responsible for manipulating high-volume, high-dimensionality data in cloud or on-premises from varying sources to highlight patterns, anomalies, relationships and trends with machine learning techniques using modeling tools (such as JMP, SAS, or Anaconda, Dataiku or alike).
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We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
At Oshkosh, we build, serve and protect people and communities around the world by designing and manufacturing some of the toughest specialty trucks and access equipment. We employ over 18,000 team members all united by a common purpose. Our engineering and product innovation help keep soldiers and firefighters safe, is critical in building and keeping communities clean and helps people do their jobs every day.
The Sr. Data Scientist is a key member in data analytics team for Corporate Engineering. The candidate will work within advanced engineering groups and a cross-functional team to develop and execute the data analytics strategy and apply to Oshkosh products. Data analytics work encompasses the acquisition, processing and machine learning of engineering or service data and application to preventive maintenance and intelligent control of on or off-road vehicles.
YOUR IMPACT:
MINIMUM QUALIFICATIONS:
STANDOUT QUALIFICATIONS:
CORE COMPETENCIES:
WORKING CONDITIONS:
#LI-VR
Pay Range:
$91,500.00 - $148,100.00The above pay range reflects the minimum and maximum target pay for the position across all U.S. locations. Within this range, individual pay is determined by various factors, including the scope and responsibilities of the role, the candidate's experience, education and skills, as well as the equity of pay among team members in similar positions. Beyond offering a competitive total rewards package, we prioritize a people-first culture and offer various opportunities to support team member growth and success.
Oshkosh is committed to working with and offering reasonable accommodation to job applicants with disabilities. If you need assistance or an accommodation due to disability for any part of the employment process, please contact us at corporatetalentacquisition@oshkoshcorp.com.
Oshkosh Corporation is a merit-based Equal Opportunity Employer. Job opportunities are open for application to all qualified individuals and selection decisions are made without regard to race, color, religion, sex, national origin, age, disability, veteran status, or other protected characteristic. To the extent that information is provided or collected regarding categories as provided by law it will in no way affect the decision regarding an employment application.
Oshkosh Corporation will not discharge or in any manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with Oshkosh Corporation's legal duty to furnish information.
Certain positions with Oshkosh Corporation require access to controlled goods and technologies subject to the International Traffic in Arms Regulations or the Export Administration Regulations. Applicants for these positions may need to be "U.S. Persons," as defined in these regulations. Generally, a "U.S. Person" is a U.S. citizen, lawful permanent resident, or an individual who has been admitted as a refugee or granted asylum.
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Pay Range: $91,500.00 - $148,100.00 The above pay range reflects the minimum and maximum target pay for the position across all U.S. locations. Within this range, individual pay is determined by various factors, including the scope and responsibilities of the role, the candidate's experience, education and skills, as well as the equity of pay among team members in similar positions. Beyond offering a competitive total rewards package, we prioritize a people-first culture and offer various opportunities to support team member growth and success.
Remote, Michigan, United States
Working pattern and location restrictions need checking in the full posting.
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