Senior Data Scientist, AI Products

1 hour, 52 minutes ago
Senior
Data Science and Analytics
Dropbox

Dropbox

Dropbox is a technology company that builds simple, powerful products for individuals and businesses. With over 700 million registered users worldwide, Dropbox offers file sync, sharing, online backup, cloud storage, collaboration tools, and more to st...

Internet Software & Services
1K-5K
Founded 2007

Description

  • Partner with Product, Data, Engineering, and Design leaders to shape the product roadmap and execution for the new AI-first division.
  • Build reliable, efficient, and scalable data foundations, tools, and processes to support long-term AI/ML growth.
  • Use data-driven insights to identify the highest-impact opportunities and influence product roadmaps and strategies.
  • Perform exploratory and deep-dive analyses to understand user workflows and engagement patterns across AI features.
  • Develop hypotheses and design and execute experiments with rigor and efficient data techniques.
  • Translate complex data insights into clear recommendations for the business through verbal and written communication.
  • Prioritize the most important work for the area you own and focus on the highest-leverage problems.
  • Contribute to a culture of strong technical ownership and help evolve the data science working model.
  • Collaborate with cross-functional teams, including senior executives, to rapidly execute and iterate.

Requirements

  • Bachelor’s degree or higher in a quantitative field such as Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or a related discipline.
  • 7+ years of experience using data-driven analysis to influence product roadmaps and business decisions, preferably in a tech company.
  • Proven ability to work independently, drive measurable business impact, and engage stakeholders with minimal direction.
  • Proficiency in SQL, Python, or other programming/scripting languages.
  • Deep understanding of statistical analysis, experimentation design, and common analytical techniques such as regression and decision trees.
  • Ability to provide data insights and recommendations for 0→1 products even when sample sizes are small.
  • Strong verbal and written communication skills.
  • Preferred: experience in startups or building 0→1 products.
  • Preferred: expertise in using data to inform AI/ML product development.
  • Preferred: background in SaaS product.

Benefits

  • Canada pay range of $162,400 to $219,600 CAD.

Interested in this position?

Apply directly on the company website

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