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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 the Sr Data Science Manager for Dash Experience, 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- Manage and scale a high performing team of data scientists
- Coach and mentor data scientists of varying experiences to ensure their continued growth
- Plan, execute, and deliver a profolio of mission-critical data science projects for Dash Experience, and provide technical leadership in a fast-paced environment
- Leverage data-driven insights to proactively identify most impactful opportunities, and directly influence product roadmaps and strategies
- Translate complex data insights into implications and recommendations for the business via excellent communication skills, both verbal and written
- Work with cross-functional teams (including Product, Engineering, Design, User Research, and senior executives) to rapidly execute and iterate
- 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
- Identify what matters most and prioritize ruthlessly
- Bachelors’ or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field
- 10+ years experience of leveraging data-driven analysis to influence product roadmap and business decision, preferably in a tech company
- 3+ years of experience directly managing data scientists or product analysts
- Proven track record of managing a portfolio of Data Science projects that improve user experience and drive measurable business impact
- Deep understanding of statistical analysis, experimentation design, and common analytical techniques
- Experience using data to inform product and business decisions that led to measurable outcomes
- Exceptional verbal and written communication skills
- Experience in startups or building 0→1 products
- Expertise in using data to inform AI/ML product development
- Background in SaaS product
US Zone 1
$233,800—$316,300 USD
US Zone 2
$210,400—$284,600 USD
US Zone 3
$187,000—$253,000 USD
Dropbox Seattle, Washington, USA Office
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Though remote is our primary way of working, meaningful in-person connection and collaboration is a critical part of Virtual First. Our Seattle Studio is a place for teams to come together to host meetings, off-sites, and build community.
What you need to know about the Seattle Tech Scene
Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.
Key Facts About Seattle Tech
- Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Amazon, Microsoft, Meta, Google
- Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Madrona, Fuse, Tola, Maveron
- Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute
