4 days ago

Staff Data Scientist, AI Products

Dropbox

Hybrid
Full Time
CA$220,000
Hybrid

Job Overview

Job TitleStaff Data Scientist, AI Products
Job TypeFull Time
CategoryCommerce
Experience5 Years
DegreeMaster
Offered SalaryCA$220,000
LocationHybrid

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Job Description

Company Description

Dropbox isn’t just a workplace—it’s a living lab for more enlightened ways of working. We're a global community of bold visionaries and resourceful doers who are shaping the future of Dropbox—and with it the future of work. Our Virtual First model combines the autonomy of a distributed workplace with the power of human connection, making space for both meaningful work and meaningful relationships. With our start-up mindset and enterprise-level opportunities, you can be who you are and grow into who you’re meant to be. Here, you can own your impact to make work more intuitive, joyful, and human—for you as a Dropboxer and for hundreds of millions of people worldwide. If you're ready to push boundaries—and yourself— Dropbox is ready for you.

For this Staff Data Scientist, AI Products role, we are currently only authorized to hire candidates from the following provinces: Alberta, British Columbia, Ontario, and Saskatchewan.

Team Description

The Dropbox Data Science team transforms data into powerful insights that inform everything we do at Dropbox. Combining applied analytics techniques with deep business insights, we investigate user behavior, product performance, and market trends to uncover new opportunities for growth, optimization, and innovation. Our work is highly collaborative: we work closely with Revenue, Product, and Marketing teams to enable data-driven development and personalized customer solutions. It’s also highly creative, as we experiment to develop tools and dashboards that democratize insights across Dropbox. If you are driven by solving challenging problems and using the power of data to deliver impactful, user-centered products and services, join our Data Sciences team. Areas of work include Applied Analytics, Experimentation, Data Engineering, Machine Learning, Business Intelligence, Data Visualization, and Statistical Modeling.

Role Description

How many times do you get the opportunity to be on the ground floor of a big and important mission? What if you could be one of the top contributors defining the mission, guiding our teams, and influencing the direction of Dropbox’s AI-first journey? As a Staff Data Scientist, AI Products for this new division, you will get to do exactly that. You will join a team of top-tier data scientists and become an integral part of the product organization, helping to scale this new business.

Joining on the ground floor of this startup team, you’ll partner directly with the Head of Data Science and Product, Engineering and Design leadership to shape the product roadmap, foster a top-tier, data-informed culture, and drive real AI/ML impact and execution along the way!

Responsibilities

  • Partner with Product Engineers and Data Engineers to build the reliable, efficient, and scalable data foundations, tools, and processes to drive our AI/ML capabilities’ long-term growth
  • Leverage data-driven insights to proactively identify most impactful opportunities, and directly influence product roadmaps and strategies
  • Perform exploratory and deep-dive analysis to understand user workflows and engagement patterns on AI features, propose hypothesis, and design & execute experiments with great rigor and efficient data techniques
  • Translate complex data insights into implications and recommendations for the business via excellent communication skills, both verbal and written
  • Identify what matters most and prioritize ruthlessly for the area you will own
  • Contribute to a culture of strong technical ownership, coach junior Data scientists in the team, and partner with Head of Data Science to keep evolving DS working model and elevate DS impact
  • Work with cross-functional teams (including Product, Engineering, Design, User Research, and senior executives) to rapidly execute and iterate

Requirements

  • Bachelors’ or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field
  • 9+ years experience of leveraging data-driven analysis to influence product roadmap and business decision, preferably in a tech company
  • Proven track record of being able to work independently, driver measurable business impact, and proactively engage with business stakeholders with minimal direction
  • Proficiency in SQL, Python or other programming/scripting languages
  • Deep understanding of statistical analysis, experimentation design, and common analytical techniques like regression, decision trees
  • Ability to provide data insights and recommendations for 0→1 product even when sample size is small
  • Strong verbal and written communication skills

Preferred Qualifications

  • Experience in startups or building 0→1 products
  • Expertise in using data to inform AI/ML product development
  • Background in SaaS product and growth analytics

Compensation & Benefits

The expected annual salary/OTE for this Staff Data Scientist, AI Products role in Canada ranges from $187,900 to $254,100 CAD, subject to change. Dropbox's total rewards package includes a corporate bonus program or sales incentive, as well as stock in the form of Restricted Stock Units (RSUs). Comprehensive benefits cover medical, dental, and vision, retirement savings, flexible PTO, income protection, and a perks allowance for wellness, learning, and more. Parental benefits, including parental leave and fertility support, are also provided, demonstrating Dropbox's commitment to the holistic health and wellbeing of its employees and their families.

Key skills/competency

  • AI/ML Product Development
  • Data-driven Strategy
  • Statistical Modeling
  • Experimentation Design
  • SQL & Python
  • Scalable Data Foundations
  • Cross-functional Leadership
  • Product Roadmap Influence
  • Exploratory Data Analysis
  • Mentorship

Tags:

Data Scientist, Staff
AI
Machine Learning
Data Science
Product Development
SQL
Python
Statistical Analysis
Experimentation
Data Engineering
Leadership

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How to Get Hired at Dropbox

  • Research Dropbox's AI Vision: Study Dropbox's Virtual First culture, AI-first mission, and recent AI product announcements to align your application.
  • Tailor Your Resume for AI Products: Customize your resume to highlight experience in AI/ML product development, data foundations, and influencing product strategy, using keywords like "data science," "AI," "machine learning," "experimentation," and "product roadmap."
  • Showcase Impact with Data: Prepare examples demonstrating how your data-driven analysis directly led to measurable business impact or product improvements, especially for 0->1 products.
  • Ace the Technical Interview: Deepen your proficiency in SQL, Python, statistical analysis, and experimental design, ready to discuss complex data problems.
  • Highlight Cross-functional Collaboration: Emphasize your ability to partner effectively with engineering, product, and design teams, and your leadership in coaching junior team members.

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