Senior Data Scientist, AI Products

Dropbox Inc

San Francisco, CA

JOB DETAILS
SALARY
$162,400–$219,600 Per Year
SKILLS
Analysis Skills, Artificial Intelligence (AI), Blog, Blueprints, Brand Strategy, Business Development, Business Strategy, CAD/CAM (Computer-Aided Design/Computer-Aided Manufacturing), Communication Skills, Computer Science, Cross-Functional, Customer Experience, Customer/Client Research, Data Analysis, Data Science, Economics, Establish Priorities, Experiment Design, Finance, Information Technology & Information Systems, Investor Relations, Leadership, Legal Research, LinkedIn, Marketing, Mathematics, Operational Communications, Operational Strategy, Presentation/Verbal Skills, Problem Solving Skills, Product Development, Product Engineering, Product Marketing, Product Planning, Product Strategy, Python Programming/Scripting Language, SQL (Structured Query Language), Sales, Scientific Research, Scripting (Scripting Languages), Set Goals, Software Engineering, Software as a Service (SaaS), Startup, Statistics, Technical Leadership, Time Management, Work From Home, Writing Skills, YouTube
LOCATION
San Francisco, CA
POSTED
30+ days ago

Senior Data Scientist AI Products Remote - Canada Select locations | Dropbox Careers

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Senior Data Scientist AI Products Remote - Canada Select locations

Remote Data Science Full Time

Dropbox is a Virtual First company. For this role we are currently only authorized to hire candidates from the following provinces: Alberta, British Columbia, Ontario, and Saskatchewan.

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 Senior Data Scientist 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 Data Science, 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, partner with DS leadership 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

  • Bachelor's or above in quantitative discipline (Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field).
  • 7+ 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, drive 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 01 product even when sample size is small.
  • Strong verbal and written communication skills.

Preferred Qualifications

  • Experience in startups or building 01 products.
  • Expertise in using data to inform AI/ML product development.
  • Background in SaaS product.

Compensation

Canada Pay Range 162,400-219,600 CAD

The range listed above is the expected annual salary/OTE (On-Target Earnings) for this role, subject to change. Salary/OTE is just one component of Dropbox's total rewards package. All regular employees are also eligible for the corporate bonus program or a sales incentive target included in OTE as well as stock in the form of Restricted Stock Units (RSUs).

Read more about our benefits here.

Company Description

Dropbox isn't just a workplace-it's a living lab for designing a more enlightened way of working. We're a global community of bold visionaries and resourceful doers shaping the future of Dropbox and in turn the future of work. Our Virtual First model combines the autonomy of a distributed workplace with the power of human connection, creating space for meaningful work and lasting relationships. With a startup mindset and enterprise-level opportunities, we expect Dropbox employees to think critically, stay curious, and use modern tools including AI to improve how work gets done. Here you can be who you are and grow into who you're meant to be. You own your impact, helping make work more intuitive, joyful, and human for yourself and hundreds of millions of people worldwide. If you're ready to push boundaries and challenge yourself, Dropbox is ready for you.

Team Description

The Dropbox Data Science team turns data into insights that shape every decision we make. We uncover customer needs, investigate trends, and help teams set ambitious goals - then guide them toward the smartest ways to achieve them. Partnering with Revenue, Product, and Marketing, we create data-driven strategies, personalized solutions, and tools 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.

Virtual First

Dropbox's Virtual First way of working is designed to help people do their best work with flexibility, autonomy, and connection. Day to day, teams work remotely with nonlinear schedules and core collaboration hours that support deep focus and individual working styles. We prioritize asynchronous communication to improve clarity, respect deep work time, and reduce unnecessary meetings. While remote work is the primary experience for our employees, we also prioritize intentional in-person connection. We bring teams together through regular team gatherings, on-demand workspaces, and Dropbox Neighborhood events in order to strengthen team cohesion, foster creativity, and enhance momentum. Virtual First is built to provide the same access to opportunity, growth, and impact for everyone regardless of location.

This role requires travel to offsites and various other team gatherings approximately 5-10% of the year or 2-3 days per quarter. We provide advance notice when possible and encourage candidates to discuss any accommodation needs during the interview process.

Dropbox supports responsible use of AI for preparation but misrepresentation of skills or experience is not permitted. See our AI Principles.

Dropbox is an equal opportunity employer. We are a welcoming place for everyone and we do our best to make sure all people feel supported and connected at work.

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Meet the Dropbox Data Science team

Focus areas include applied analytics, experimentation, data engineering, machine learning, business intelligence, data visualization, and statistical modeling.

Explore the team

"I feel trusted at Dropbox. Here I'm free to make decisions, own my work end-to-end, and contribute to the company beyond my role." Ragul - Tech Lead

"Dropbox has transformed my career and I feel empowered to make an impact every single day. I love working with exceptional people in an environment that supports growth, innovation, and disruption." Rachel - Security Engineer

"Every day at Dropbox brings new opportunities to push myself to try something different and grow my skillset. I'm encouraged at every step." RiAnica - Senior Web Producer

"I know I'm making an impact when our products make users' lives easier." Maciej - Software Engineer

"Everyone I met during the interview process was working on solving real problems. That's what attracted me to Dropbox." Hannah - People Analytics Senior Manager

Virtual First isn't just a policy

Virtual First defines how we work and what we create. By experiencing distributed work firsthand we know how to make it more intuitive and human.

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Committed to your growth

Dropbox is a global community where you can own your impact. From day one you're trusted to experiment boldly, sharpen your craft, and grow with the support of world-class teammates. With our start-up mindset and enterprise-level opportunities you can be yourself while unlocking your potential.

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