Applied Data Scientist

🕒 June 18

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Shift5

51 - 200 employees

Founded 2019

🎖️ Defense

📦 Logistics

🏭 Manufacturing

💰 $50M Series B on 2022-02

Defense • Logistics • Manufacturing

Shift5 is a company that provides an observability platform for onboard operational technology (OT), bringing order to the complexity of onboard data in critical defense and transportation assets. Their solutions are designed to enhance the security, availability, safety, resilience, and reliability of fleets through real-time data access and observability. Shift5's services include predictive maintenance, cybersecurity, compliance, and GPS integrity, serving industries such as defense, aviation, and rail. The company aims to unlock the complete ecosystem of onboard data, enabling operations, maintenance, and cybersecurity teams to make rapid and well-informed decisions.

📋 Description

• End-to-End Project Scoping: Take ownership of data science projects from initial problem definition and hypothesis building to final, actionable deliverable. • Product Generalization: Take one-off customer insights and solutions and build them back into the broader, deployable suite of Shift5 core products. • Cross-Functional Collaboration: Partner with embedded analysts, deployment strategists, and forward-deployed engineers to translate complex analyses into immediate customer value. • Advanced Data Analysis: Perform complex statistical analyses to push the envelope, interpret trends, and break new ground in leveraging operational data for diagnosis and prediction. • System Optimization: Work closely with programmers, engineers, and leadership to identify process improvements, propose system modifications, and devise long-term data strategies.

🎯 Requirements

• Technical Skills: Fluency in a generic analytics coding language (Python, SQL, R, or Matlab) and strong data needs analysis skills (identifying data and technical tests required to validate hypotheses). • Communication & Mindset: Excellent communication skills with a track record of translating highly technical information for non-technical audiences. A humble, receptive attitude toward feedback. • Logistics: Ability and willingness to travel up to 40% of the time (US only). • Preferred Experience: Experience with time-series data, and a background/education blend (ideally a Master's or Doctorate program) in Data Science. Industry experience in defense, aerospace, or cybersecurity is a major plus.

🏖️ Benefits

• Bonus program and equity in a fast-growing startup • Competitive medical, dental, and vision coverage for employees and their families • Health Savings Account with annual employer contributions • Employer-paid Life and Disability Insurance • Uncapped paid time off policy • Flexible work & remote work policy • Tax-deferred public transit benefits with Metro SmartBenefits (DC/MD/VA)

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