At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our 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 episodic edge/serverless solutions, Render 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 you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move quick and scale confidently from MVP to millions of users. Our platform is trusted by over 7 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $260M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development.

We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you. We foster an setting of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team.

We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed. Our interview process is unique to each role, and we value the candidate experience just as much as our customer experience. We're looking for a Senior/Staff Data Scientist to join our growing Data team and serve as a strategic analytics partner across Render.

As we scale, we're tackling increasingly complex questions across our product, customers, and business, from how developers discover and adopt Render, to what drives engagement and retention, to how we prioritize investments and identify new opportunities for growth. You’ll partner with leaders and teams across Product, Growth, Go-to-Market, Finance, and other functions, focusing on some combination of data analytics, analytics engineering, machine learning, and experimentation based on your strengths,



interests, and Render's highest-priority needs. You'll turn ambiguous questions into rigorous analysis, define how we measure success, and translate complex data into decisions and action.

As a Senior/Staff-level individual contributor , you’ll also help set the standard for analytics at Render, shaping our measurement frameworks, analytical practices, and how teams across the company use data to make better decisions. Serve as a strategic analytics partner. Work closely with leaders and cross-functional partners across Product, Engineering, Growth, Go-to-Market, Finance, and other teams to identify high-impact questions, frame decisions, and determine how success should be measured.

Develop the KPIs and frameworks teams use to understand performance across areas such as acquisition, activation, adoption, engagement, retention, conversion, expansion, and customer outcomes. Turn data into strategy. Surface patterns across our users, customers, products, and business.

Identify opportunities, diagnose friction, and help teams determine where to invest and what to prioritize. Design and analyze experiments where appropriate, develop guardrail metrics and other methods for evaluating initiatives, and help teams choose the right analytical approach for the decision at hand. Build trusted analytical foundations.

Build and maintain dbt models, semantic and context layers in partnership with Analytics Engineering, transforming behavioral and business data into reliable datasets that support decision-making across Render. Establish analytical best practices, improve how teams use data in decision-making, and mentor scientists and cross-functional partners on measurement, experimentation, and data literacy. Help shape the future of analytics at Render.

Explore how AI-assisted tools can make analytics faster and more accessible while maintaining a high bar for accuracy, context, and analytical judgment. Strong SQL skills. Writing complex, efficient SQL and independently exploring large datasets is a core part of how you work.



~ Experience using experimentation, statistical analysis, or other rigorous evaluation methods to understand impact, along with judgment about when each approach is appropriate. ~ A track record of influencing cross-functional teams and senior leaders without direct authority.

You're comfortable challenging assumptions, creating clarity from ambiguity, and driving alignment around what the data says. ~ You can turn complex analysis into a explicit narrative, explain technical concepts to non-technical audiences, and build the relationships necessary to drive action. ~ Experience using AI-assisted coding or analytics tools such as Codex, Cursor, or Claude Code to accelerate analysis, data modeling, instrumentation, or visualization. Expertise in statistical methods beyond traditional A/B testing, such as causal inference, cohort and survival analysis, or time-series analysis.

Experience analyzing multi-product or multi-segment businesses and understanding behavior across interconnected customer journeys. 4 weeks of paid vacation. ~14 weeks of fully paid parental leave for all parents to bond with a newly born, adopted, or fostered child. Long-term disability, life insurance, and 401K plans. ~100% employer-paid medical coverage and 99% employer-paid dental and vision coverage for you and a dependent. Monthly cell phone and internet subsidy. ~ Commuter benefits for Renders in the Bay Area, and home office stipends for remote Renders. ~ Continuous learning benefits & related support.

This position is generally not eligible for new visasponsorship. At Render's discretion, the business may sponsor existing visa transfers. We know that employing a team rich in diverse thoughts, experiences, and opinions allows our employees, product, and community to flourish.

We make all employment decisions including hiring, evaluation, termination, promotional, and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment.

📌 Senior Staff Data Scientist (Remote) (Mississauga)
🏢 Render
📍 Mississauga