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Senior Data Scientist I, Go-To-Market - Remote

Posted 8 hours ago
Data Analysis
Full Time
Worldwide

Overview

Dandy is transforming the massive and antiquated dental industry—an industry worth over $200B. Backed by some of the world’s leading venture capital firms, we’re on an ambitious mission to simplify and modernize every function of the dental practice through technology. As we expand our reach globally, Dandy is building the operating system for dental offices around the world—empowering clinicians and their teams with technology, innovation, and world-class support to achieve more for their practices, their people, and their patients.

In Short

  • Design, build, and maintain lead scoring models for sales prioritization.
  • Analyze marketing campaign performance to optimize efficiency.
  • Conduct deep-dive analysis of marketing and sales funnels.
  • Enhance data infrastructure with Rev Ops.
  • Communicate insights to marketing and sales leadership.

Requirements

  • 4+ years in data science or analytics focused on marketing or sales.
  • Strong understanding of B2B marketing and sales funnel.
  • Excellent SQL and Python skills.
  • Strong critical thinking and problem-solving skills.
  • Ability to navigate ambiguity and deliver value in cross-functional settings.

Benefits

  • Comprehensive and inclusive benefits tailored to each country.
  • Healthcare, dental, mental health support.
  • Parental planning resources and retirement savings options.
  • Generous paid time off.
Dandy logo

Dandy

Dandy is a forward-thinking company revolutionizing the dental industry, which is valued at $200 billion but has remained largely outdated. With the support of prominent venture capital investors, Dandy aims to integrate and simplify all functions of dental practices through innovative technology. The company is dedicated to building a comprehensive operating system for dental offices across America, empowering dentists with cutting-edge technology, innovation, and exceptional support to enhance their practices, improve patient care, and optimize operational efficiency.

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