Data Scientist II
Мэтч & Сопровод
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Описание вакансии
TL;DR
Data Scientist II: Solving high-impact problems in the rental shopping experience with an accent on shaping product strategy, designing and analyzing experiments, and uncovering opportunities. Focus on helping renters find and choose their next home with greater confidence and ease.
Location: Remote (USA). U.S. employees may live in any of the 50 United States, with limited exceptions.
Salary: $125,900.00 - $201,100.00 annually in California, Connecticut, Maryland, Massachusetts, New Jersey, New York, Washington state, and Washington DC. $119,600.00 - $191,000.00 annually in Colorado, Hawaii, Illinois, Minnesota, Nevada, Ohio, Rhode Island, and Vermont.
Company
Group’s mission is to give people the power to unlock life’s next chapter.
What you will do
- Partner with Product, Engineering, Design, and Machine Learning (ML) to define and refine metrics that drive improvements across the rental shopping funnel.
- Design, run, and analyze A/B tests and other experiments using statistical and causal inference methods to understand renter behavior and measure product impact.
- Work with large-scale behavioral and clickstream datasets to generate insights that inform product strategy and roadmap decisions.
- Translate complex analyses into clear, compelling recommendations that influence product direction and prioritization for cross-functional partners.
- Own analytical projects end-to-end, from problem framing and scoping through methodology selection, execution, and communicating results and tradeoffs.
Requirements
- Bachelor’s or Master’s degree in a quantitative field (e.g., Statistics, Economics, Engineering, Data Science) or equivalent practical experience.
- 3+ years of experience in data science, ideally in a product-focused environment where you’ve influenced roadmap or feature decisions.
- Strong foundation in statistics, experimentation, and causal inference, including hands-on experience designing and analyzing A/B tests.
- Experience working with event or clickstream data (e.g., Google Analytics or similar tools) and large-scale datasets to understand user behavior.
- Proficient in Python and SQL and comfortable building robust analyses in production-scale data environments.
- Ability to independently scope and structure ambiguous problems, delivering clear, impactful insights that help stakeholders make better decisions.
- Ability to communicate complex technical concepts in an accessible way and build strong, collaborative relationships with cross-functional partners.
Culture & Benefits
- Be part of a company that's reshaping an industry and helping more people make home a reality.
- Work will help drive innovation, support our customers, and move the industry—and your career—forward, together.
- is committed to creating an innovative, inclusive, and engaging culture where employees are empowered to grow.
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