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7 дней назад

Data Scientist (Risk & Fraud)

168 300 - 297 000$
Формат работы
remote (только UNITED_STATES)
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

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TL;DR

Data Scientist (Risk & Fraud): Deriving valuable insights from unique datasets and turning them into actions that improve the customer experience with an accent on driving strategy using a variety of data science techniques and owning north star metric monitoring. Focus on approaching problems from first principles, designing and analyzing A/B experiments, and ensuring system reliability to protect users.

Location: Remote (US only)

Salary: $168,300—$297,000 USD (depending on location zone)

Company

hirify.global is a technology company building an inclusive economy through various brands like Square, Cash App, Afterpay, TIDAL, Bitkey, and Proto.

What you will do

  • Partner directly with the Cash App Risk & Fraud organization and cross-functional teams.
  • Analyze large datasets using SQL and scripting languages to surface actionable insights.
  • Approach problems from first principles, using statistical and mathematical modeling techniques to understand customer behavior.
  • Design and analyze A/B experiments to evaluate impact and optimize risk actions.
  • Work with engineers to log new, useful data sources for risk and product features.
  • Build, forecast, and report on metrics that drive strategy and facilitate decision making.
  • Write code to process, cleanse, and combine data sources, creating curated ETL datasets.
  • Build and share data visualizations and self-serve dashboards for partners.

Requirements

  • Previous exposure to or interest in risk, fraud, statistical reporting methods, or regulatory data science.
  • Bachelor's degree in statistics, data science, or similar STEM field with 6+ years of relevant experience OR a graduate degree with 4+ years of relevant experience.
  • Advanced proficiency with SQL and data visualization tools (e.g., Tableau, Looker).
  • Experience with scripting and data analysis programming languages, such as Python or R.
  • Deep understanding of statistical concepts such as selection bias, probability distributions, and conditional probabilities.
  • English: B2 required

Culture & Benefits

  • Remote work flexibility within the US.
  • Medical insurance and retirement savings plans.
  • Flexible time off and modern family planning support.
  • Commitment to building an inclusive workplace.

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