Quora

Data Scientist

• Own ambiguous, high-impact problem spaces across product and business domains, from question framing through analysis and solution development with cross-functional partners
• Partner with cross-functional stakeholders and company leadership to shape product strategy and anticipate future challenges
• Design and evaluate experiments to measure the impact of product and strategic changes
• Analyze product data to uncover root causes of metric movements
• Develop tools, methodologies, and frameworks that improve data practices across the data team and company
• Mentor other data scientists and instill industry best practices
• Devise measurements and metrics, design randomized controlled experiments, build visualizations, and uncover usage patterns and opportunities across Quora
• Work on domains including user growth, content quality, monetization, personalization, marketplace dynamics, and long-term company strategy

Staff Data Scientist

Machine Learning Engineer

• Develop and improve ads ranking models, including prediction objectives, feature interactions, user-history modeling, and calibration
• Own machine learning systems end-to-end, including data pipelines, feature engineering, training-data construction, model evaluation, model training, and production integration
• Evaluate and apply advances in deep learning and recommendation modeling within production latency, reliability, and cost constraints
• Collaborate with ML platform and product engineers to build scalable and efficient production machine learning systems
• Partner with product, data science, and engineering teams to define ranking objectives, design A/B experiments, and measure advertiser performance, revenue, and user relevance
• Identify opportunities to apply machine learning across the Ads product
• Improve CTR and CVR prediction, model calibration, user and ad representations, and user-sequence modeling
• Translate ranking-quality improvements into advertiser value, revenue, and better user experiences

Senior Machine Learning Engineer, Ads

Financial Planning and Analysis

• Build, run, and continuously improve AI-driven automation across the FP&A function — forecasting, budgeting, management reporting, variance analysis, and month-end close workflows
• Own the operational side of tax — monitor obligations and deadlines, keep schedules and workpapers current, and build automation that makes compliance continuous
• Connect ERP, spend management, equity, HRIS, and CRM systems with AI agents, integrations, and scripts — systematically eliminating manual, repetitive finance processes
• Design and ship new automations and AI systems that expand what the finance function can do — building is core to this role, not just maintaining what exists
• Document what you build, keep it reliable and auditable, and help raise the AI capability of the broader finance team

Staff Data Scientist

Senior Machine Learning Engineer, Ads

AI Financial Operations Analyst