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Data Scientist/ Engineer (Hybrid -Boston)

🏢 Shifttechnology · 📍 US - Boston · 💼 hybrid 💰 $100,000 - $100,000 / yr
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Position Summary & Responsibilities

Shift delivers AI agents that transform insurers' most critical work. By combining deep industry expertise and unmatched data resources, Shift provides proven results that have earned the trust of hundreds of the world's leading insurers. Our insurance-grade AI is accurate, explainable, and secure—empowering human experts to move with unmatched speed, total confidence, and a renewed focus on the people they serve.

 

Our culture is built on innovation, trust, and a drive to transform the insurance industry through our SaaS platform. We come from more than 50 different countries and cultures and together we are creating the future of insurance.

Learn more at www.shift-technology.com

 

About the Team

  • This role is part of our Data Science team which is the largest team in our organization consisting of over 200+ Data Scientists throughout the world.
  • Our Data Scientists work in a full lifecycle role and on a broad range of subjects acquiring extensive technical and professional experience in data science, data engineering, coding, business understanding and client engagement.
  • Our company is small enough that each person’s achievements has an impact on our overall performance, yet big enough to be a world leader and innovator in our domain.
  • As a member of the data science team, you will be working alongside our technical experts and your role will be key to rolling out our enterprise level solutions to our clients.

Key Responsibilities

  • Your role will be to actively contribute to the US- Insurance roadmap and clie
🎯 Candidate Preparation Guide For Shifttechnology Applicants

Key Role Competencies & Evaluation Highlights

Key Role Focus:

Enterprise SaaS scaling ability, deep machine learning application in fraud/claims, and high-velocity B2B execution.

📋 Preparation Priorities (Key Areas to Clarify):
  • 1. Treating insurance domain knowledge as an afterthought rather than a critical operational pillar
  • 2. Proposing complex AI solutions that lack explainability or regulatory compliance for insurers
  • 3. Failing to demonstrate cross-functional collaboration between product, data science, and enterprise sales
✨ Recommended Role Alignment Hook:

I build and scale enterprise AI solutions that solve high-stakes fraud and claims problems, turning complex data science into undeniable ROI for insurers.

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