Applied Data Scientist
@ Shift5

Hybrid
Hybrid
Posted 3 days ago

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XXXXXXXXX XXXXXXXXXXX XXXXXX****** @shift5.com
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Job Details

About Shift5

Shift5 is redefining the future of onboard operational technology (OT) and is a fast-growing scale-up specializing in cybersecurity, predictive maintenance, and compliance for OT systems across defense, aerospace, and rail. The team is passionate, innovative, and collaborative, aiming to revolutionize fleet operations by unlocking the potential of onboard OT data.

Role Overview - Applied Data Scientist

Join the Value Engineering team and work directly with customers on critical projects. You will break down complex business problems into manageable parts and deliver actionable insights using data.

Responsibilities & Requirements

  • Deconstruct unstructured and complex problems into testable hypotheses.
  • Manage multiple customer engagements simultaneously.
  • Utilize analytics coding languages (R, Matlab, Python, SQL) for data analysis.
  • Communicate technical information effectively to non-technical audiences.
  • Travel up to 40% within the US as required.

Preferred Qualifications

  • End-to-end project execution experience.
  • Experience with time-series data and advanced analytics.
  • Master's or PhD in Data Science or related field.
  • Industry experience in defense, aerospace, or cybersecurity.

Compensation & Benefits

Base Salary: $100,000-$200,000 plus bonus, equity, and comprehensive benefits including medical, dental, vision and more. Enjoy flexible, remote work policies, uncapped paid time off, and additional perks.

Our Values & Culture

We value truth, user-centric focus and collaboration. Shift5 is committed to building an inclusive culture that embraces diversity and fosters growth.

Key skills/competency

  • Data Analysis
  • Python
  • SQL
  • Problem Solving
  • Predictive Maintenance
  • Cybersecurity
  • Communication
  • Time-series
  • Collaboration
  • Travel

How to Get Hired at Shift5

🎯 Tips for Getting Hired

  • Research Shift5's culture: Explore their mission, values, and latest achievements.
  • Customize your resume: Highlight relevant data science projects and travel flexibility.
  • Demonstrate technical skills: Showcase proficiency in Python, SQL, R or Matlab.
  • Prepare clear examples: Articulate complex problem solving and customer engagement.

📝 Interview Preparation Advice

Technical Preparation

Practice Python and SQL coding challenges.
Review time-series data analysis techniques.
Learn data visualization and hypothesis testing.
Study case studies on predictive maintenance.

Behavioral Questions

Explain a project with ambiguous problem details.
Describe a time you managed multiple priorities.
Share how you handled critical feedback.
Discuss working under high-travel demands.

Frequently Asked Questions