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Senior Data Scientist

Remote, Michigan, United States

Live, first seen by us 77 days ago
Pay
$91,500–148,100/yearAnnual period assumed — pay source
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.
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Work setting
Remote — work setting source
Listed location: Remote, Michigan, United States
Read the full posting
Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

Before you apply

Work authorization
No visa sponsorship

What you’ll work on

Full 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

From the employer’s posting
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.

What you’ll bring

All qualifications

Core experience

  • 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.
Qualification wording
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.
Education & alternatives
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.
Apply at Oshkosh

Posting record

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Status in our records
Live
First seen by us
Aug 19, 202677 days ago
Recorded sightings
88
Last seen by us
Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

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.

Time since we first saw it

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.

Oshkosh is hiring

3 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Hiring has slowed
  • Takes jobs down at a usual pace
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • C
  • Java
  • Python
  • R
  • SAS
  • SQL
  • Hadoop
  • Kafka
  • NoSQL
  • C++
Where the posting names them
- 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).

Your next step

Complete your application on oshkoshcorporation.wd5.myworkdayjobs.com. The employer’s form will show what is required.

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About the role

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.

US government figures for data scientists

Median yearly pay, May 2025
$120,230
Expected change, 2025 to 2035
34.6% more jobsagainst 3.5% for all jobs

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.

Job description

View original posting ↗

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:  

  • Perform data science or analytics assignments, investigations, and visualization tasks. 
  • Deliver results according to Oshkosh and general industry engineering standards and processes.
  • Support (Sr.) data analyst/scientist in the preparation of analytics work, plans, designs, data processing and visualization, and/or reporting.
  • Under close supervision, work on projects of high level of complexity.                                                    
  • Work in collaboration with data science team, data engineering, software, and other internal engineering groups or business support disciplines as well as external component suppliers.
  • Collaborate with other team members in Oshkosh to establish and execute the data analytics strategy regarding telematics, cloud hosting, data file system and preprocessing and engineering applications.
  • 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.        
  • 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).     
  • 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.                  
  • Support or direct proposal development with regards to acquiring appropriate funding for various advanced data analytics and control systems program from government agencies.
  • Provide insight to service or engineering design teams and support maintenance enhancement and product design improvement.
  • Other duties as assigned.
  • Regular attendance is required.

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: 

  • 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.
  • 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:

  • Internal Contacts: Contact with peers and others involving explanation of information (these contacts may be within or outside department or division), and the gathering of factual information; may include the communication of sensitive or confidential information.
  • External Contacts:  Limited external contact to gather information, answer queries, or ask assistance.
  • Communication Skills:  Read, write and comprehend simple instructions, short correspondence and memos; Read and interpret safety rules, operating/maintenance instructions and procedure manuals; Write routine reports, correspondence and speak effectively before both internal and external groups; Read, analyze and interpret business manuals, technical procedures and/or government regulations: Read, analyze and interpret scientific and technical journals, financial reports and legal documents.
  • Decision-Making:  Regularly makes significant decisions and final results, typically affecting the entire department. Available guides or precedents are limited. Has authority over the allocation of resources.
  • Complexity, Judgment and Problem Solving:  Work requires the ability to plan and perform work in light of new or constantly changing problems, work from broad instruction, and deal with complex factors not easily evaluated.  Decisions require considerable judgment, initiative and ingenuity in areas there is little precedent.
  • Supervisory/Managerial:  General instructing, scheduling, and reviewing the work of others performing the same or directly related work. Acts as “lead worker”.

WORKING CONDITIONS:

  • Physical Demands: Frequent: Standing, Walking/Running, Sitting, Reaching, Hearing, Talking, Visual, Typing; Occasional: Driving, Fine Dexterity, Manual Dexterity; Upper Extremity Repetitive Motion; Seldom: Lifting/Carrying 25lbs., Pushing/Pulling 25llbs.
  • Non-Physical Demands: Frequent: Analysis/Reasoning, Communication/Interpretation, Math/Mental Computation, Reading, Sustained Mental Activity (i.e. auditing, problem solving, grant writing, composing reports), Writing.
  • Environmental Demands: Frequent: Work Alone, Frequent Task Changes, Tedious/Exacting Work; Occasional: High Volume Public Contact.
  • Work Schedule:  Routine shift hours. Infrequent overtime, weekend, or shift rotation.
  • Demands/Deadlines: High volume and variable work demands and deadlines impose strain on routine basis or considerable stress intermittently; OR regular direct contacts with distressed individuals within the immediate work environment; and/or exposure to demands and pressures from persons other than immediate supervisor.

#LI-VR

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.

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.

Source details

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Pay
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.
Location & working pattern

Remote, Michigan, United States

Working pattern and location restrictions need checking in the full posting.

Work authorization

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