Senior Data Scientist

March 18

Apply Now

Receive Emails with Similar Jobs

Dropbox

WebsiteLinkedInAll Job Openings

Dropbox is a cloud-based service that provides tools for storing, sharing, and accessing files across devices. It offers features such as document sharing, video review, automatic backups, and AI-driven scheduling. Dropbox also provides solutions for different sectors like teams, sales, marketing, and education, and industries including construction, media, technology, and manufacturing. With a focus on security, Dropbox ensures files are encrypted and protected against tampering. It offers integrations with various productivity tools and is trusted by major companies for efficient file management and collaboration.

Cross-platform file sync • File sharing • Online backup • Cloud storage • Collaboration

1001 - 5000 employees

Founded 2007

🏢 Enterprise

⚡ Productivity

📋 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! • 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.