Staff Data Scientist

At the organization, the modern cloud platform is being built for developers creating AI-native, full-stack, multi-service applications. The mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms so teams can ship fast, scale reliably, and focus on their product, not infrastructure.

Unlike complex hyperscalers or ephemeral edge/serverless solutions, the program offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether building LLM-powered applications, scalable SaaS products, or async processing pipelines, this team empowers teams to move fast and scale confidently from MVP to millions of users.

The platform is trusted by over 3 million developers worldwide and continues to grow rapidly. In January 2025, $80M was raised in Series C financing, bringing total funding to $157M, to accelerate the vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development.

The team is diverse and talented, valuing craft, velocity, and user experience. If shaping the future of the intelligent cloud and empowering developers everywhere is exciting, interest is encouraged.

Applying to the organization:

The organization is seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, improvement is sought both individually and collectively. An environment of mutual trust and respect is fostered, empowering effective debate to achieve the best outcomes for customers and the team.

Members of underrepresented groups in the tech community are especially encouraged to apply and it is understood that not all successful candidates will meet each requirement listed.

The interview process is unique to each role, and the candidate experience is valued just as much as the customer experience. It is hoped that conversations with the organization reflect a thoughtful process that is illuminative, enjoyable, and respectful of candidate time.

About the Opportunity:

As an early member of the Data Science team, there will be a critical impact on growth by shaping product strategy and guiding investment decisions through clear, actionable insights. While collaborating with teams across the Engineering and Product organization, there will be opportunities to be the first to explore many areas in the data and unlock opportunities to drive innovation.

What You'll Do:

• Collaborate with cross-functional teams, particularly Product and Engineering, to guide, influence, and support product strategy with data insights.

• Analyze and interpret large, complex datasets to address diverse and challenging business problems using various analytical and statistical techniques.

• Explore and evaluate opportunities for product improvement.

• Develop and track success metrics for product initiatives.

• Provide actionable insights about users, such as how they work, how they discover features, and which obstacles they might run into on the platform.

• Contribute toward initiatives to enhance the reliability and accuracy of data infrastructure and processes.

What is Being Sought:

• 6+ Years of experience solving analytical problems using quantitative approaches.

• 3+ Years of experience leading data-driven projects from definition to execution, including metric definition, experiment design, aggregation of results from disparate data sources, and communication of actionable insights to stakeholders.

• A track record of high ownership and taking initiative.

• Experience in cross-functional collaboration, including effective communication with team members of varying skill sets and levels of experience.

• Proficiency in SQL with some experience in Python.

• Familiarity with the core components of the data stack:

• Multiple sources of data (e.g., Segment, HubSpot, back-end data in Cloud SQL for PostgreSQL)

• ETL to BigQuery with Stitch

• dbt layer for data transformation

• Analysis and reporting with Metabase

Some projects you might work on:

• Partner with Product and Engineering leads to define and implement metrics to measure the success of features launched as part of the platform.

• Define metrics for tracking and measuring the reliability and performance of the core platform.

• Conduct quantitative user research to support improvements to pricing and packaging.

• Develop algorithms for detecting abuse on the platform.

• Build trustworthy, standardized datasets around product usage to provide visibility into the adoption and retention of platform features.

If this role excites you but each requirement is not met, expressing interest is still encouraged—unique experience might be just what is needed.

Benefits:

• This opportunity is also eligible for equity with early-exercise options and extended exercise windows.

• 4 weeks of paid vacation, available from day one.

• 14 weeks of fully paid parental leave for all parents to bond with a newly born, adopted, or fostered child. Flexible, supportive plans of return are available.

• Long-term disability, life insurance, and 401K plans.

• 100 percent employer-paid medical coverage and 99 percent employer-paid dental and vision coverage for you and a dependent. FSAs and HSAs are available as well.

• Monthly lifestyle stipend for wellness, mental health and therapy, hobbies, etc.

• Monthly cell phone and internet subsidy.

• Commuter benefits for those in the Bay Area, and home office stipends for remote team members.

• Continuous learning benefits and related support.

The organization is an equal-opportunity employer. Employing a team rich in diverse thoughts, experiences, and opinions allows employees, product, and community to flourish. All employment decisions including hiring, evaluation, termination, and promotion are made in this spirit.