- Experience
- 2+ yrs
- Salary
- USD 122,000 – USD 173,117 / year
- Openings
- 1
- Posted
- 5 দিন আগে
- Work mode
- Work from home
- Eligibility
- This position is open to candidates located in multiple countries worldwide, with employment eligibility varying by country. Applicants must be available to work during Quora's coordination hours (Mon-Fri 9am-3pm Pacific Time) and meet local employment requirements as per Quora policies.
- Resume
- Required to apply
Sign in to tell us what does and doesn't work for you here — it sharpens every match we show you.
Job description
About Quora
Quora is a private, "remote-first" organization dedicated to expanding the world's shared knowledge. It operates two main platforms: Quora, a knowledge-sharing site attracting over 300 million unique monthly visitors globally, and Poe, which offers users access to a wide variety of AI language models such as GPT-5.6-Sol and several Claude versions. Through these platforms, Quora promotes connection, learning, and AI integration.
Team and Role Overview
The Data Team at Quora plays a vital role by guiding decisions using data and influencing strategic directions across the company. Data scientists collaborate with product managers, designers, engineers, and others to create metrics, design experiments, build visual tools, and investigate complex product and user behavior challenges. Projects include user growth modeling, improving personalized feeds, marketplace optimization, engagement analysis, and assessing monetization strategies.
Responsibilities
- Manage well-defined, impactful challenges in product and business areas from question framing to solution execution with cross-team collaboration.
- Develop and assess randomized controlled experiments to evaluate effects of changes.
- Inspect product data to identify reasons behind shifts in metrics.
- Work alongside stakeholders to leverage data in product decision-making.
- Enhance team capabilities by contributing to data tools, methods, and frameworks.
Required Qualifications
- Participate in meetings and communications during Quora’s coordination hours (Monday to Friday, 9am-3pm Pacific Time).
- At least two years in analytical or quantitative roles, including one year in a Data Scientist or equivalent position.
- Proven ability to conduct independent data analyses that guide business or product decisions.
- Strong grasp of statistical methods such as regression, hypothesis testing, and causal inference with practical application.
- Effective communicator capable of translating business questions into analysis and presenting findings clearly.
- Proficiency with procedural programming languages like Python or R for data handling and modelling, including working within production environments.
- Sound judgment balancing quantitative rigor with product insight and common sense.
Preferred Qualifications
- Experience analyzing experiments and recommender systems via offline and online testing.
- Familiarity with large-scale datasets and distributed computing frameworks like Presto or Trino.
- Active user of Quora demonstrating curiosity about the platform.
Diversity and Inclusion
Quora embraces diversity, encouraging applications from all backgrounds including marginalized groups. A range of perspectives is valued to impact products and culture positively.
Additional Details
Applications are accepted continuously; this opening fills an existing vacancy. Benefits include comprehensive health coverage, equity opportunities, remote work support, paid leave, and employee aid programs, varying by country.
Compensation varies based on experience, location, education, and company needs. US-based candidates can expect salaries between $122,000 and $173,117 USD plus equity and benefits. In Canada, salaries range from $146,206 to $177,828 CAD depending on city, along with equity and benefits.
Quora is an equal opportunity employer, prohibiting discrimination on many grounds including race, gender, age, and disability. AI tools may assist in sorting applications, but hiring decisions are human-led. Final candidates will undergo identity verification and background checks before joining.