Staff Data Scientist

Quora

Staff Data Scientist analyzing Quora’s knowledge-sharing product through experimentation, metrics, and modeling. Influencing product strategy across growth, personalization, content quality, and monetization.

Posted 9/11/2026full-timeRemote • 🇺🇸 United StatesLead💰 $163,560 - $240,092 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in statistical techniques, data analysis, and product strategy development while effectively mentoring data scientists and collaborating with cross-functional teams. Proficient in Python or R for data manipulation and modeling, with a strong focus on improving data practices and driving product impact.

Highest-signal resume keywords

Data AnalysisStatistical TechniquesPython or R ProficiencyCross-Functional LeadershipMentoring Data Scientists

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Statistical TechniquesData AnalysisData ManipulationModelingCausal InferenceHypothesis TestingExperiment DesignData VisualizationRecommender Systems EvaluationDistributed Computing

Soft Skills

Effective CommunicationProblem SolvingJudgment

Tools & Technologies

PythonRPrestoTrino

Industry Keywords

Product StrategyUser GrowthContent QualityMonetizationPersonalizationMarketplace Dynamics

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

Availability for meetings and impromptu communication during Quora's coordination hours, Monday–Friday, 9am–3pm Pacific Time
7+ years of work experience in an analytical or quantitative role, including 5+ years as a Data Scientist or similar title
Track record of success at a senior or staff level of scope and autonomy
Ability to tackle difficult data questions requiring deep product ownership and/or cross-functional leadership
Expertise with statistical techniques such as regression, hypothesis testing, and causal inference
Experience mentoring other data scientists and raising team standards through best practices and process improvements
Effective communication skills, including translating ambiguous business needs into analytical questions and explaining technical results to executives and cross-functional partners
Extensive experience using Python or R for data manipulation, modeling, and analysis
Comfort working in a production codebase
Strong judgment blending quantitative rigor with product intuition and common sense
Preferred: 2+ years evaluating recommender systems in offline analysis and online experiments
Preferred: Experience setting technical direction or strategy for a team or major workstream
Preferred: Experience with large data sets and distributed computing tools such as Presto/Trino
Preferred: Active Quora user with curiosity about the product
Final candidates must undergo identity verification and a comprehensive background check prior to onboarding
Candidates must be legally authorized to work in the selected employment-eligible country

Benefits

Comp & perks

Medical coverage
Dental coverage
Vision coverage
Equity refreshers
Remote work reimbursement
Paid time off
Employee assistance programs
Benefits vary by country