Senior Data Scientist, AI Products

About the Role

This role matters because it is at the core of Dropbox's strategy to leverage AI/ML for product growth. The company is looking for someone who can not only analyze complex data sets but also influence product roadmaps and strategies with data-driven insights. The team context is highly collaborative, with a focus on cross-functional work to achieve common goals.

What You Will Do

• Partner with Product Engineers and Data Engineers to build reliable, efficient, and scalable data foundations, tools, and processes to drive long-term growth of AI/ML capabilities.
• Leverage data-driven insights to proactively identify the most impactful opportunities and directly influence product roadmaps and strategies.
• Perform exploratory and deep-dive analyses to uncover new insights and opportunities.
• Collaborate with the Data Science team to develop and implement new AI/ML models and algorithms.
• Work closely with the Product team to understand business requirements and develop data-driven solutions.
• Communicate complex data insights and recommendations to both technical and non-technical stakeholders.
• Develop and maintain large-scale data systems and tools to support the analysis and modeling needs of the team.
• Stay up-to-date with industry trends and emerging technologies in AI/ML and data science.

What We Are Looking For

• A strong background in data science, with a focus on AI/ML.
• Experience working with large datasets and developing predictive models.
• Excellent analytical and problem-solving skills, with the ability to communicate complex ideas simply.
• Proficiency in Excel and other data analysis tools.
• Experience working in a collaborative environment, with a proven track record of influencing product roadmaps and strategies with data-driven insights.
• Strong programming skills in languages such as Python, R, or SQL.
• Experience with cloud-based data platforms and tools.

Nice to Have

• Experience with deep learning frameworks such as TensorFlow or PyTorch.
• Knowledge of natural language processing (NLP) techniques and text analysis.
• Experience working with cross-functional teams, including Product, Engineering, and Design.
• Familiarity with Agile development methodologies.

Benefits and Perks

• Competitive salary and equity package.
• Comprehensive health insurance, including medical, dental, and vision.
• Flexible PTO policy and paid holidays.
• Remote work stipend to support your home office setup.
• Access to the latest tools and technologies in AI/ML and data science.
• Opportunity to work on high-impact projects that drive real business results.
• Collaborative and dynamic work environment with a team of top-tier data scientists and engineers.

• Develop a strong portfolio: Showcase your ability to drive real AI/ML impact and execution with examples of previous projects or contributions to open-source initiatives.
• Highlight your ability to communicate complex ideas: Showcase your ability to simplify complex data insights and recommendations for both technical and non-technical stakeholders.
• Stay up-to-date with industry trends: Demonstrate your knowledge of emerging technologies in AI/ML and data science to stand out as a forward-thinking candidate.
• Prepare to discuss your approach to data-driven decision making: Be ready to walk through your process for analyzing complex data sets and developing predictive models.
• Show enthusiasm for Dropbox's mission: Demonstrate your passion for the company's AI-first journey and how you see yourself contributing to its success.
• Be prepared to negotiate your salary: Research the market rate for your role and be confident in discussing your compensation expectations.
• Watch for red flags in company culture: Pay attention to how the company supports remote work, its approach to professional development, and its commitment to diversity and inclusion.