Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
JobTailor Logo

See all jobs on JobTailor

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
Oshkosh Corporation

Senior Data Scientist

Oshkosh Corporation

Sr. Data Scientist in the Corporate Engineering team at Oshkosh, focusing on data analytics strategy for products.

Posted 7/29/2026full-timeRemote • Missouri • 🇺🇸 United StatesSenior💰 $91,500 - $148,100 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in data science and analytics, with a strong focus on cloud-based data analytics, data processing techniques, and collaboration across engineering disciplines. Proficient in utilizing data modeling and visualization tools to deliver results that meet industry standards.

Highest-signal resume keywords
Data ScienceData AnalyticsCloud-Based Data AnalyticsData Processing TechniquesData Modeling

ATS Keywords

Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Data VisualizationData File SystemsHadoopKafkaImpalaMap ReduceSQLNoSQLPythonR
Tools & Technologies
Telematics InterfacesData Virtualization ToolsJavaC++
Certifications & Qualifications
Accredited Bachelor's Degree
Industry Keywords
Engineering StandardsData Science TeamData EngineeringBusiness Support DisciplinesExternal Component Suppliers

Tech Stack

Tools & technologies
CloudHadoopJavaKafkaNoSQLPythonSQL

About the role

Key responsibilities & impact
  • Perform data science or analytics assignments, investigations, and visualization tasks
  • Deliver results according to Oshkosh and general industry engineering standards and processes
  • 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
  • Conduct independent research on new technologies in cloud-based data analytics

Requirements

What you’ll need
  • Accredited Bachelor's degree in computer science, data science or related field
  • 5 or more years of related experience
  • 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++

Benefits

Comp & perks
  • Competitive total rewards package
  • People-first culture
  • Opportunities to support team member growth and success