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Role Description
How many times do you get an opportunity to be at the ground floor on a very big and important mission? What if you get to be one of the top contributors defining the mission, guiding our teams and influencing the direction of Dropbox AI-first mission? As a Senior Data Scientist for this new division, you will exactly get to do that. You will join a team of top-tier data scientists and be an inherent part of the product org to create and scale this new business.
As a ground floor opportunity for this startup team, we need this senior DS to build a top-tier data-informed culture with a lot of focus on AI/ML impact and execution!
Responsibilities
- You will partner closely with leads across all functions while being focused on the AI/ML team work - Product, Engineering, Design, and Research
- You will build the reliable, efficient, and scalable data foundations and daily execution standards, tools, and processes for our AI/ML capabilities’ long-term growth
- You will contribute to a culture of strong technical ownership, resulting in highly reliable products and services at scale
- You will leverage data-driven insights to proactively identify most impactful opportunities, and inform future experimentation design and product roadmaps
- You will perform analytical deep-dives to analyze AI related user problems and opportunities, identify the hypothesis and design & execute experiments with great rigor and efficient data techniques
Requirements
- Bachelors’ or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field
- 5-8+ years experience of leveraging data-driven analysis to influence key business decisions and executives, preferably in a tech company
- 2+ years working with AI/ML related product teams, and having hands-on experiences to work with data scientists, engineers, product managers, user researchers, and designers
- Proven track record of being able to work independently and proactively engage with business stakeholders with minimal direction & driver measurable business impact
- Ability to influence prioritization and execution of high impact projects effecting customer experience, monetization, and entire organization’s roadmap
- Ability to provide data insights for 0-1 product even when sample size is small, with a track record of driving directly measurable product or business impact.
- Be proficient with SQL, Python and other coding languages frequently applied in the AI/ML production environment, with deep understanding of statistical analysis & experiment design
Preferred Qualifications
- Have worked in startups or on true 0→ 1 products before
- Experiences with SaaS search, ranking, AI research, etc
Compensation
US Zone 1
This role is not available in Zone 1
US Zone 2
$168,300—$227,700 USD
US Zone 3
$149,600—$202,400 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
