4 дня назад
Senior Data Scientist
163 560 - 240 092$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Scientist (Data): Driving product strategy and decision-making for the Quora platform with an accent on experimentation, causal inference, and recommender systems. Focus on solving complex, open-ended analytical problems and mentoring the data team to advance rational decision-making.
Location: Remote (Multiple countries including Canada, Ireland, and the United States). Must be available for meetings during coordination hours (Mon-Fri: 9am-3pm Pacific Time).
Salary: $163,560–$240,092 USD (US) or $196,012–$246,625 CAD (Canada).
Company
is a remote-first company dedicated to growing the world's collective intelligence through its knowledge-sharing platform and its AI-focused platform, Poe.
What you will do
- Own high-impact problem spaces across product and business domains, from framing questions to implementing solutions.
- Partner with leadership and cross-functional teams to shape product strategy and anticipate future challenges.
- Design and evaluate randomized controlled experiments to measure the impact of product changes.
- Analyze product data to uncover root causes of metric movements and usage patterns.
- Develop methodologies and frameworks to improve the data team's analytical capabilities.
- Mentor other data scientists and promote industry best practices across the team.
Requirements
- 7+ years of analytical work experience, including 5+ years as a Data Scientist at a senior or staff level.
- Expertise in statistical techniques such as regression, hypothesis testing, and causal inference.
- Extensive experience with procedural programming languages like Python or R.
- Demonstrated ability to lead cross-functional efforts and own complex product areas.
- Strong communication skills for translating business needs into analytical questions.
- Availability for coordination hours (Mon-Fri: 9am-3pm Pacific Time).
Nice to have
- 2+ years of experience evaluating recommender systems.
- Experience with large datasets and distributed computing tools like Presto or Trino.
- Experience setting technical direction or strategy for a major workstream.
- Active user.
Culture & Benefits
- Remote-first culture rooted in transparency, experimentation, and rational decision-making.
- Comprehensive benefits including medical, dental, and vision coverage.
- Equity refreshers and remote work reimbursement.
- Paid time off and employee assistance programs.
- Collaborative environment focused on meaningful work and global impact.
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