Application Guide

How to Apply for Sr. Data Scientist

at Oshkosh Corporation

🏢 About Oshkosh Corporation

Oshkosh Corporation is a global industrial technology leader that designs and builds some of the toughest specialty trucks and access equipment, with a mission to enhance safety and resilience in communities worldwide. With over 18,000 team members, the company's engineering innovations directly support soldiers, firefighters, and critical infrastructure, making it a purpose-driven workplace.

About This Role

As a Sr. Data Scientist, you will be a key member of the data analytics team for Corporate Engineering, working within advanced engineering groups and cross-functional teams to develop and execute the data analytics strategy. Your work will involve acquiring, processing, and applying machine learning to engineering and service data, with a direct impact on preventive maintenance and intelligent control of on/off-road vehicles.

💡 A Day in the Life

A typical day might involve collaborating with engineers to understand data needs, cleaning and analyzing large datasets from vehicle sensors, and developing machine learning models to predict failures or optimize performance. You'd likely spend time in virtual meetings with cross-functional teams, coding in Python or R, and presenting your findings to stakeholders to inform design decisions.

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Interview Prep

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🎯 Who Oshkosh Corporation Is Looking For

  • Proven experience in data science, with a strong background in machine learning, statistical modeling, and predictive analytics, particularly in engineering or industrial applications.
  • Proficiency in programming languages such as Python or R, and experience with data processing frameworks (e.g., Spark, SQL) and visualization tools (e.g., Tableau, Power BI).
  • Ability to work on complex projects with high-level of autonomy, but also comfortable collaborating within cross-functional engineering teams.
  • Strong communication skills to translate data insights into actionable recommendations for engineering and product teams.

📝 Tips for Applying to Oshkosh Corporation

1

Tailor your resume to highlight specific projects where you applied machine learning to sensor data, predictive maintenance, or vehicle systems, as these are directly relevant to Oshkosh's products.

2

Quantify your impact in previous roles (e.g., 'reduced downtime by 20% through predictive models') and align with Oshkosh's focus on safety and resilience.

3

Since the role is remote, emphasize your experience working in distributed teams and your ability to manage time effectively without direct supervision.

4

Research Oshkosh's product lines (e.g., fire trucks, military vehicles, refuse collection) and mention any relevant domain knowledge in your cover letter or application materials.

5

Highlight any experience with IoT, telematics, or real-time data streams, as these are likely relevant to vehicle data analytics.

✉️ What to Emphasize in Your Cover Letter

['Express your passion for using data to solve real-world engineering challenges that impact safety and community resilience.', 'Detail a specific project where you developed a machine learning solution for predictive maintenance or vehicle control, explaining the business impact.', 'Mention your ability to work cross-functionally with engineers and product teams, as this is key to the role.', 'Showcase your remote work experience and self-discipline, aligning with the remote nature of the position.']

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🔍 Research Before Applying

To stand out, make sure you've researched:

  • → Review Oshkosh's latest product innovations, such as their autonomous or electric vehicle initiatives, to understand where data science is heading.
  • → Look into Oshkosh's corporate values and mission, particularly their commitment to 'building, serving, and protecting communities,' and align your answers with this.
  • → Explore any recent press releases or news about Oshkosh's data analytics or engineering advancements to stay current.
  • → Check the company's LinkedIn page and employee testimonials to get a sense of the culture and remote work environment.

💬 Prepare for These Interview Topics

Based on this role, you may be asked about:

1 Describe a time you built and deployed a machine learning model in a production environment. What challenges did you face?
2 How would you approach developing a predictive maintenance model for a fleet of specialty trucks? What data would you need?
3 Explain a complex data science concept to a non-technical stakeholder. How do you ensure your insights are actionable?
4 Given Oshkosh's focus on safety, how would you ensure your models are robust and reliable in high-stakes scenarios?
5 Tell us about a time you worked on a cross-functional team with engineers. How did you integrate data insights into their design process?
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⚠️ Common Mistakes to Avoid

  • Don't submit a generic resume that doesn't highlight relevant experience in engineering data or predictive maintenance.
  • Avoid focusing solely on academic research without demonstrating practical application and business impact.
  • Don't underestimate the importance of communication skills; be prepared to show you can explain technical concepts to non-experts.

📅 Application Timeline

This position is open until filled. However, we recommend applying as soon as possible as roles at mission-driven organizations tend to fill quickly.

Typical hiring timeline:

1

Application Review

1-2 weeks

2

Initial Screening

Phone call or written assessment

3

Interviews

1-2 rounds, usually virtual

✓

Offer

Congratulations!

Ready to Apply?

Good luck with your application to Oshkosh Corporation!

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