Назад
1 день назад

Senior Data Scientist / Analyst

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Senior Data Scientist / Analyst (Product Analytics): Owning product insights for a peer-to-peer prediction market by defining success metrics, designing experiments, and analyzing user behavior with an accent on A/B testing, funnels, and event instrumentation. Focus on explaining user drop-off, evaluating feature impact, and translating complex analyses into product direction in a fast-moving trading environment.

Location: New York, United States; On-site

Company

Polymarket operates a peer-to-peer prediction market where users trade on outcomes across politics, economics, sports, culture, and current affairs.

What you will do

  • Partner with product managers, designers, and engineers as the analytical owner for product development.
  • Define feature success metrics and communicate clearly when shipped products do not achieve their goals.
  • Design, instrument, and analyze A/B tests, including sample size, guardrail metrics, and stopping decisions.
  • Build funnel and behavioral analyses covering market discovery, first trades, and repeat engagement.
  • Identify user drop-off and friction points and translate behavioral insights into product direction.
  • Own event tracking specifications, develop modeled datasets with analytics engineers, and document analyses end to end.

Requirements

  • 7+ years of experience in product analytics, data science, or a similar role supporting a consumer or trading product.
  • Expert SQL skills, including working from raw event tables to defensible conclusions.
  • Deep experience designing and interpreting production A/B tests, including explaining null results.
  • Strong product sense, comfort with ambiguity, and ability to form and defend analytical hypotheses.
  • Experience defining event tracking and instrumentation and working effectively in a fast-moving environment.
  • Strong communication skills for presenting complex analyses and recommendations to non-technical audiences.

Nice to have

  • Background in causal inference, quasi-experimental methods, or predictive modeling with Python or R.
  • Experience with trading, marketplace, or other two-sided products where user behavior drives economics.

Culture & Benefits

  • Fast-moving environment with frequent product releases and changing business logic.
  • Competitive salary and equity.
  • Unlimited paid time off.
  • Full health, vision, and dental coverage.
  • 401(k) match and hardware setup including a new MacBook Pro, display, and accessories.

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