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
- everage data-driven insights to proactively identify most impactful opportunities, and
- directly influence
- product
- roadmaps
- and strategies
- erform exploratory
- and deep-dive
- nalysis
- to understand
- ser 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
- ontribute 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
- Bachelors’ or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field
- 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
- 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
- Compensation
- Canada Pay Range
- $162,400
- $219,600 CAD
