Data Scientist for consumer products

Phantom; United States; Remote; USD 150,000 - 210,000; Full time

Benefits offered by this job

Competitive salary

Equity

Medical insurance

Flexible hours

Unlimited vacation

401K

Wellness stipend

Meal stipend

Learning stipend

Remote setup stipend

Job summary

Phantom ищет опытного аналитика данных/продукта для анализа путей пользователей, активации, вовлечения и монетизации. Вы будете разрабатывать наборы данных и dbt-модели, работать с Snowflake и Dagster, а также внедрять AI‑инструменты в рабочий процесс.

Требуется сильная статистика, опыт проектирования A/B тестов и сотрудничество с командами продукта. Гибкий график, удаленная работа и конкурентная компенсация.

Qualifications

• Глубокие знания статистики и методов анализа данных.
• Опыт проектирования и анализа A/B тестов, интерпретации результатов.
• Навыки SQL и Python для разведки данных и статистических моделей.
• Знание dbt, Snowflake и ETL-пайплайнов.
• Опыт сотрудничества с продукт‑командами и донесения выводов.
• Умение работать с AI-инструментами и осмыслять качество кода.

Responsibilities

• Анализ путей пользователей, активации, вовлечения и монетизации; предлагать улучшения продукта.
• Проектирование и оценка A/B тестов, гипотезы, метрики и размер выборки.
• Определение метрик продукта и улучшение инструментирования данными.
• Создание аналитических наборов данных и моделей dbt.
• Работа с Snowflake, Dagster и ETL для обеспечения качества данных.
• Использование Python для статистического анализа и автоматизации.

Skills

Статистический анализ

Дизайн A/B тестов

SQL

Python

Визуализация данных

Коммуникация результатов

Tools

Snowflake

Dagster

dbt

ETL пайплайны

Job description

Описание

Phantom builds a global trading app that helps people discover open financial markets, make informed financial decisions, and securely store or spend money worldwide. Its products include access to perpetuals, prediction markets, tokenized assets, stablecoins, and memes, with self-custody and open networks at their core.

Задачи

• Analyze user journeys, activation, engagement, retention, and monetization to identify opportunities and recommend product improvements Design and evaluate A/B tests, including hypotheses, success metrics, guardrails, sample sizing, and interpretation
• communicate uncertainty and distinguish observed relationships from causal effects Define and maintain product metrics, and partner with Engineering to improve instrumentation and validate the underlying data
• Build reusable analytical datasets and dbt models using SQL
• collaborate with Data Engineering on Snowflake, Dagster, and ETL pipelines to improve data quality and support analysis Use Python for statistical analysis, modeling, and automation
• make work reproducible, documented, and maintainable Incorporate AI coding tools such as Codex, Claude Code, and Cursor into the workflow
• review and validate generated code, assumptions, and results Independently lead ambiguous problems from initial question through analysis, recommendation, and measurement Communicate clearly, challenge assumptions constructively, and influence priorities across teams

Требования

• 7+ Years of experience in data science, product analytics, or a related field, with a demonstrated record of influencing product decisions
• Strong foundation in statistics, including probability, statistical inference, hypothesis testing, regression, and sources of bias and confounding; ability to select appropriate methods and explain their assumptions and limitations
• Practical experience designing and analyzing A/B tests, including defining metrics, assessing statistical power, checking experiment validity, and translating results into decisions
• Advanced SQL skills and strong proficiency in Python for data exploration, statistical analysis, and reproducible analytical workflows
• Working knowledge of dbt, data modeling, and modern data platforms; familiarity with orchestration tools such as Dagster and how ETL pipelines, dependencies, and refresh schedules affect downstream analysis
• Hands-on experience using AI coding tools such as Codex, Claude Code, or Cursor in a regular workflow, with the judgment to verify correctness and maintain code quality
• Experience partnering directly with product teams, ideally on consumer products, to understand behavior and improve activation, engagement, retention, or monetization
• Ability to independently structure ambiguous problems, prioritize work, and communicate recommendations to technical and nontechnical partners
• Curiosity, initiative, and willingness to learn unfamiliar systems and follow through on useful work
• Будет плюсом: Experience working with Snowflake, including querying large datasets and understanding query performance and cost; experience with crypto, tokenized assets, finance, or fintech

Условия

• Competitive salary and equity
• Comprehensive medical, dental, and vision insurance
• base plan 100% covered
• Flexible hours
• Unlimited vacation
• 401(K) retirement plan
• Wellness stipend
• Weekly meal stipend
• Learning & Development stipend
• Remote / WFH set-up stipend