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Описание вакансии
Текст:
TL;DR
Data Scientist (Growth) (SQL/Python/R): Applying statistical inference, experimentation, and predictive modeling to evaluate product changes and identify growth opportunities with an accent on metrics, foundational datasets, and decision support. Focus on analyzing ambiguous business questions, building effective models and dashboards, and influencing product, engineering, and marketing strategy.
Location: San Francisco, California; onsite
Salary: $145,000–$162,000 per year for roles based in San Francisco
Company
Notion builds a collaborative AI workspace for knowledge, projects, meetings, and AI tools used by individuals, teams, and companies.
What you will do
- Apply statistical inference and experimentation to measure the impact of product changes and guide decisions.
- Analyze ambiguous business questions to identify opportunities for the Growth organization and influence strategy and roadmap planning.
- Partner with product, engineering, and marketing leaders to drive data science and analytics initiatives.
- Define north star and operational metrics and build foundational datasets and dashboards to monitor progress.
- Communicate findings across the company and drive changes in product and business decisions.
Requirements
- Expertise in SQL and at least one scripting language, ideally Python or R.
- Experience using statistical inference and experimentation to produce actionable recommendations.
- Ability to transform raw data and build datasets when required measures do not already exist.
- Comfort with ambiguity, business-oriented decision-making, and balancing speed with accuracy.
- Experience acting as a strategic thought partner to product, engineering, and marketing leaders.
Nice to have
- Experience at a fast-growing startup.
- Experience at a B2B SaaS company.
- Experience building and evaluating predictive models.
Culture & Benefits
- Competitive cash compensation, equity, and benefits.
- Emphasis on craft, durable products, intellectual curiosity, and experimentation.
- AI is encouraged as a collaborator in daily work, with AI fluency required only for roles where explicitly stated.
- Equal opportunity employment and reasonable accommodations during the hiring process.
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