Staff Data Scientist

October 1

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Logo of Render

Render

SaaS • Cloud Computing • Web Hosting

Render is a modern cloud platform for developers and teams that simplifies the process of building, deploying, and scaling applications. It offers a range of services including web services, static sites, cron jobs, background workers, PostgreSQL databases, and Redis management. Render's platform is designed for ease of use with features such as automatic deployments, load-based autoscaling, and infrastructure as code. It also provides robust security measures like DDoS protection and data privacy compliance. Render caters to a wide range of development stacks with support for various programming languages and Docker images, providing developers with a seamless environment to manage and scale their infrastructure. With a focus on speed, reliability, and collaboration, Render helps developers efficiently manage their applications and infrastructure from development to production.

11 - 50 employees

Founded 2018

☁️ SaaS

📋 Description

• 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 our 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 our data infrastructure and processes. • Partner on projects like defining metrics for features and platform reliability, conducting quantitative user research for pricing, developing abuse-detection algorithms, and building standardized product usage datasets.

🎯 Requirements

• 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 our data stack: multiple sources of data (e.g., Segment, HubSpot, back-end data in Cloud SQL for PostgreSQL). • Experience with ETL to BigQuery with Stitch. • Experience with dbt for data transformation. • Experience with analysis and reporting using Metabase. • Legally authorized to work in the United States of America (application requires confirmation).

🏖️ 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. • 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. 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 Renders in the Bay Area, and home office stipends for remote Renders. • Continuous learning benefits & related support.

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🇺🇸 United States – Remote

💵 $230k - $250k / year

💰 $15M Series A on 2022-08

⏰ Full Time

🔴 Lead

📊 Data Scientist

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