Data Scientist, Core Data - PhD (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Data Scientist (Core Data/AI): Building foundational platforms for data science and AI tooling at with an accent on experimentation, causal inference, and statistical modeling. Focus on developing ML-based analytical systems and crafting metrics to measure AI-powered features.
Location: Must be based in the United States (Remote or hub-based in New York or San Francisco)
Salary: $170,000 - $178,000 USD
Company
is a collaborative design platform that empowers teams to brainstorm, prototype, and translate designs into code in real time.
What you will do
- Define and track key metrics and develop experiments to inform strategic decisions.
- Advance the experimentation platform using A/B testing frameworks and causal inference techniques.
- Build ML-based models and analytical frameworks to support product and business initiatives.
- Develop tools, datasets, and systems that improve data efficiency and rigor across the organization.
- Own complex data projects end-to-end, from prioritization to solution delivery.
- Drive data quality, accessibility, and democratization across the company.
Requirements
- PhD in Statistics, Computer Science, Economics, Physics, or a related quantitative field.
- Strong foundation in statistical methods, experimentation, and machine learning.
- Fluency in SQL and proficiency in Python or R.
- Exposure to distributed data systems such as Snowflake.
- Must be based in the United States.
- Ability to communicate complex technical concepts clearly to both technical and non-technical audiences.
Nice to have
- Publications or research experience in experimentation or applied ML.
- Experience with LLM analytics and measuring the impact of AI-powered features.
- Industry internship experience applying data science to product or business problems.
Culture & Benefits
- Competitive equity package and annual bonus plan for eligible employees.
- Comprehensive health, dental, vision, and mental health benefits.
- Generous PTO, company recharge days, and parental leave.
- Stipends for learning & development and work-from-home setups.
- Cell phone reimbursement and company contributions to retirement plans.
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