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Sr. Data Scientist & Product Analyst (Fintech)

176 000 - 220 000$
Формат работы
hybrid
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
Sr. Data Scientist & Product Analyst (Fintech): Designing experiments, analyzing product performance, and translating customer and business data into product strategy with an accent on product analytics, statistical methods, and scalable decision-support capabilities. Focus on building A/B testing frameworks, investigating root causes behind performance shifts, detecting anomalies and trends, and evaluating AI-powered analytics.

Location: Hybrid in Seattle, Washington, United States; requires 3+ days per week onsite, with onsite attendance Tuesday through Thursday.

Salary: $176,000–$220,000 starting base salary per year, plus equity and additional compensation components.

Company

hirify.global provides secure, simple, and reliable financial services for customers sending and managing money globally.

What you will do

  • Partner with Product, Engineering, Design, and Business leaders to define success metrics and influence roadmap decisions.
  • Generate insights into customer needs, growth opportunities, friction points, and emerging trends.
  • Design, implement, and analyze A/B tests and scalable experimentation frameworks.
  • Lead investigations into business, customer, and product performance shifts, identifying root causes and validating hypotheses.
  • Build analytical frameworks to detect anomalies, risks, and trends proactively.
  • Evaluate and support adoption of AI-powered analytics and decision-support capabilities.

Requirements

  • 7+ years of experience in Product Analytics, Data Science, Decision Science, or a related analytical role.
  • Strong SQL expertise and experience working with large-scale datasets.
  • Experience designing, executing, and analyzing experiments and A/B tests.
  • Strong understanding of statistical methods, hypothesis testing, and causal inference.
  • Proven ability to influence product decisions through data-driven insights and conduct root-cause investigations.
  • Experience collaborating with Product, Engineering, and Business teams, plus familiarity with analytics and BI visualization tools such as Tableau, Mode, or Power BI.

Culture & Benefits

  • Connected hybrid work culture with intentional in-person collaboration.
  • Flexible paid time off.
  • Health, dental, and vision coverage with a 401k plan and company matching.
  • Paid parental, medical, military, and family care leave.
  • Mental health and family-forming benefits.
  • Employee Stock Purchase Plan and continuing education support.

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