Staff Data Scientist, AI Products

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<h2>Role Description</h2> <p><span>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 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.</span></p> <p><span>Joining on the ground floor of this startup team</span><span>,</span><span> 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</span><span>!</span></p> <h2>Responsibilities</h2> <ul> <li><span>Partner with Product Engineers and Data Engineers to </span><span>build </span><span>the reliable, efficient, and scalable data foundations, tools, and processes </span><span>to drive</span><span> our AI/ML capabilities’ long-term growth</span></li> <li><span>L</span><span>everage data-driven insights to proactively identify most impactful opportunities, and </span><span>directly influence </span><span>product </span><span>roadmaps</span><span> and strategies</span></li> <li><span>P</span><span>erform exploratory </span><span>and deep-dive </span><span>a</span><span>nalysis</span> <span>to understand </span><span>u</span><span>ser workflows and engagement patterns on AI features</span><span>, </span><span>propose</span><span> hypothesis</span><span>,</span><span> and design & execute experiments</span><span> with great rigor and efficient data techniques</span></li> <li><span>Translate complex data insights into implications and recommendations for the business via excellent communication skills, both verbal and written</span></li> <li><span>Identify what matters most and prioritize ruthlessly for the area you will own</span></li> <li><span>C</span><span>ontribute to</span><span> a culture of strong technical ownership</span><span>, coach junior Data scientists in the team, and partner with Head of Data Science to keep evolving DS working model and elevate DS impact</span></li> <li><span>Work with cross-functional teams</span> <span>(including</span><span> Product, Engineering, Design, User Research, and senior executives) to rapidly execute and iterate</span></li> </ul> <h2>Requirements</h2> <ul> <li>Bachelors’ or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field</li> <li><span>10</span><span><span>+ </span></span><span><span>years experience</span></span> <span>of leveraging </span><span>data-driven analysis </span><span>to influence </span><span>product roadmap and </span><span>business decision, preferably </span><span>in a tech company</span></li> <li>Proven track record of being able to work independently<span>, </span><span>driver</span><span> measurable business impact</span><span>, </span>and proactively engage with business stakeholders with minimal direction <span> </span></li> <li><span>Proficiency</span> <span>in</span><span> SQL</span><span>, Python</span> <span>or</span> <span>other </span><span>programming/scripting</span><span> languages</span></li> <li>Deep understanding of statistical analysis, experimentation design, and common analytical techniques like regression, decision trees</li> <li><span>Ability to </span><span>provide data insights</span><span> and recommendations</span><span> for 0</span><span>→</span><span>1 product even when sample size is small</span></li> <li>Strong verbal and written communication skills</li> </ul> <div> <h2>Preferred Qualifications</h2> <ul> <li><span>Experience in startups or building 0→1 products</span></li> <li><span>Expertise in using data to inform AI/ML product development</span></li> <li><span>Background in SaaS product and growth analytics</span></li> </ul> <h2><span>Compensation</span></h2> </div><div><div><div><p><span>US Zone 1</span></p> <p><span>This role is not available in Zone 1</span></p></div><div>US Zone 2</div><div><span>$197,400</span><span>—</span><span>$267,000 USD</span></div></div><div><div>US Zone 3</div><div><span>$175,400</span><span>—</span><span>$237,400 USD</span></div></div></div>

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