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Описание вакансии
Текст:
TL;DR
PhD Intern, Data Science (2027) (Data Science/AI): Researching product, user, and business questions through experimentation, causal inference, machine learning, and analytical systems with an accent on rigorous methodology and translating research into product and business impact. Focus on owning an end-to-end data science project, designing metrics and models, and evaluating AI-powered features and LLMs.
Location: San Francisco or New York hub office, United States; in-person onboarding required
Salary: $68 USD per hour, plus housing stipend and travel reimbursement.
Company
Figma provides a collaborative design platform for brainstorming, prototyping, design-to-code workflows, and real-time teamwork, including AI-powered capabilities.
What you will do
- Partner with product, engineering, design, marketing, sales, and operations teams to define ambiguous data science problems.
- Analyze user, product, and business data to uncover insights and recommend actions.
- Design and evaluate experiments, metrics, statistical and machine learning models, and analytical frameworks.
- Communicate assumptions, tradeoffs, limitations, and recommendations to technical and non-technical partners.
- Own an end-to-end internship project from problem framing and technical execution through final recommendations, with potential for publication.
Requirements
- Currently pursuing a PhD in data science, statistics, computer science, HCI, economics, operations research, physics, applied mathematics, or a related quantitative field.
- Demonstrated independent research experience, such as a thesis or equivalent research milestone.
- Fluency in one or more areas including statistics, experimentation, machine learning, causal inference, econometrics, optimization, user research methods, or AI/LLMs.
- Experience with Python or R and proficiency with SQL for analysis, modeling, or complex and large-scale datasets.
- Ability to explain technical concepts clearly and connect analysis to decisions, recommendations, or product and business impact.
- Internship work is based in the San Francisco or New York hub office, with in-person onboarding required.
Nice to have
- Industry or applied research experience in experimental design, causal inference, forecasting, product measurement, user research, or applied machine learning.
- Publications or research relevant to applied data science.
- Experience or interest in AI product measurement, LLM analytics and evaluation, recommendation systems, search, personalization, or AI-powered feature evaluation.
Culture & Benefits
- Learning and development are supported through a growth-oriented culture.
- Housing stipend and travel reimbursement are offered to interns.
- Reasonable accommodations are available throughout the application, interview, and employment process.
- Video interviews require cameras to remain on.
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