Staff Data Scientist, New Initiatives

Dropbox; San Francisco (CA); On-site; USD 130,000 - 190,000; Full time

Job summary

Join a forward-thinking company as a Staff Data Scientist, where you will play a pivotal role in shaping the AI-first strategy. This exciting opportunity involves collaborating with top-tier data scientists and leadership across various functions to create a data-informed culture. You will lead AI/ML initiatives, conduct deep analytical dives, and influence key decision-making processes. If you are passionate about leveraging data to drive impactful business decisions and thrive in a dynamic environment, this role is perfect for you. Be part of a mission that is set to redefine the future of technology!

Qualifications

• 8+ years of experience in data analysis influencing business decisions.
• 3+ years leading AI/ML data initiatives with cross-functional teams.

Responsibilities

• Lead data initiatives balancing urgency with quality standards.
• Build scalable data foundations for AI/ML capabilities.

Skills

Data Analysis

AI/ML Initiatives

Statistical Analysis

SQL

Python

Education

Masters in Statistics

Masters in Applied Mathematics

Masters in Computer Science

Job description

How many times do you get an opportunity to be at the ground floor of a very big and important mission? What if you could be one of the top contributors defining the mission, guiding teams, and influencing Dropbox's AI-first strategy? As a Staff Data Scientist in this new division, you will join a team of top-tier data scientists within the product organization to create and scale this new business.

As a ground-floor opportunity for this startup team, we need a Staff Data Scientist to build a top-tier data-informed culture with a focus on AI/ML impact and execution!

Responsibilities

1. Serve as the data leader, balancing urgency with the high quality standards expected by our customers and organization, through clear, repeatable, data-informed approaches.
2. Partner closely with leadership across all functions, focusing on AI/ML work with Product, Engineering, Design, and Research teams.
3. Participate in key decision-making processes for AI-first strategies.
4. Build reliable, efficient, scalable data foundations, tools, and processes for the growth of AI/ML capabilities.
5. Create a culture of strong technical ownership to ensure highly reliable products and services at scale.
6. Use data-driven insights to identify impactful opportunities and inform experimentation and product roadmaps.
7. Conduct deep analytical dives into AI-related user problems, formulate hypotheses, and design & execute experiments with rigor and efficiency.

Requirements

• Masters’ or higher in Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related fields.
• 8+ years of experience leveraging data analysis to influence business decisions, preferably in tech.
• 3+ years leading AI/ML data initiatives, collaborating with data scientists, engineers, product managers, researchers, and designers.
• Proven ability to work independently, engage with stakeholders, and deliver measurable business impact.
• Ability to influence project prioritization affecting customer experience, monetization, and organizational roadmaps.
• Experience providing insights for early-stage products with small sample sizes, demonstrating direct impact.
• Proficiency in SQL, Python, and other relevant coding languages, with a strong understanding of statistical analysis and experiment design.
• Experience coaching and mentoring junior data scientists to enhance team productivity.

Preferred Qualifications

• Experience working in startups.
• Experience with SaaS search, ranking, AI research, etc.