Data Scientist (SaaS)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Data Scientist (SaaS): Building and optimizing the data infrastructure and experimentation stack for an AI visual storytelling platform with an accent on product analytics and business intelligence. Focus on defining key metrics, designing A/B tests, and translating complex datasets into actionable product insights.
Location: Must be based in San Francisco, Palo Alto, or Los Angeles
Salary: $170,000 – 220,000 annually
Company
is an AI-powered platform dedicated to making visual storytelling accessible to all through scalable video creation technology.
What you will do
- Define and implement the company's data and experimentation stack from the ground up.
- Analyze user journeys and behaviors to uncover patterns that inform the product roadmap.
- Design, launch, and analyze A/B tests and data-led product features.
- Build and maintain production-quality BI dashboards for self-serve access to business metrics.
- Collaborate with engineering, product, and business teams to foster a data-driven culture.
Requirements
- Bachelor’s degree in a quantitative field (Computer Science, Statistics, Mathematics, Business Analytics).
- 3+ years of professional experience in Data Science, BI, or Product Analytics.
- Expert-level SQL proficiency and experience with Python or R.
- Proven track record of operationalizing new product-level metrics from scratch.
- Ability to work from the offices in San Francisco, Palo Alto, or Los Angeles.
Culture & Benefits
- Competitive salary and comprehensive benefits package.
- 401k plan, health insurance, and emotional health resources.
- Generous PTO and a dedicated parental leave program.
- Dynamic and inclusive environment focused on innovation and creativity.
- Access to state-of-the-art AI technologies and tools.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →