Data Scientist (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Data Scientist (Data Science/ML): Analyzing product metrics and designing experiments for to influence product and company strategy with an accent on statistical rigor and causal inference. Focus on designing randomized controlled experiments, modeling user growth, and optimizing marketplace efficiency.
Location: Remote (Eligible countries include USA, Canada, Ireland, and others). Availability for coordination hours (Mon-Fri: 9am-3pm Pacific Time) is required.
Salary: $144,320 - $240,092 USD (US), $172,955 - $246,625 CAD (Canada)
Company
is a remote-first knowledge sharing platform and the creator of Poe, an AI bot platform allowing users to interact with various LLMs.
What you will do
- Own ambiguous, high-impact problem spaces across product and business domains from framing to implementation.
- Partner with cross-functional stakeholders and leadership to shape product strategy and anticipate challenges.
- Design and evaluate randomized controlled experiments to measure the impact of product and strategic changes.
- Analyze product data to uncover root causes of metric movements and usage patterns.
- Develop tools, methodologies, and frameworks to enhance data-driven decision making across the company.
- Mentor other data scientists and instill industry best practices within the team.
Requirements
- 7+ years of experience in analytical or quantitative roles, with 5+ years as a Data Scientist.
- Track record of success at a senior or staff level of scope and autonomy.
- Expertise in statistical techniques including regression, hypothesis testing, and causal inference.
- Extensive experience using Python or R for data manipulation, modeling, and analysis.
- Strong communication skills to translate business needs into analytical questions for executives.
- Must be available for coordination hours: Mon-Fri, 9am-3pm Pacific Time.
Nice to have
- 2+ years of experience evaluating recommender systems via offline analysis and online experiments.
- Experience setting technical direction or strategy for a team or major workstream.
- Experience with large data sets and distributed computing tools like Presto or Trino.
- Active curiosity about the product.
Culture & Benefits
- Remote-first culture rooted in transparency, idea-sharing, and experimentation.
- Comprehensive medical, dental, and vision coverage.
- Equity refreshers and remote work reimbursement.
- Paid time off and employee assistance programs.
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