Назад
8 дней назад

Head of Growth Data Science (Fintech)

300 000 - 320 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
head
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
Head of Growth Data Science (Fintech): Leading growth data science across acquisition, activation, conversion, retention, and expansion with an accent on experimentation, causal inference, forecasting, and applied machine learning. Focus on building scalable measurement frameworks, productionizing Generative AI tools, and translating analytical insights into investment and growth decisions.

Location: San Francisco, United States; full-time and based in San Francisco

Base salary: $300K–$320K annually, plus potential equity and bonus.

Company

Airwallex provides an AI-native financial operating system and regulated infrastructure for global payments, financial operations, and financial products.

What you will do

  • Lead the Growth Data Science team and act as a strategic data partner to Growth, Product, Marketing, Sales, Finance, and regional business leaders.
  • Define trusted measurement frameworks and analyze the full growth funnel, including acquisition, activation, conversion, retention, and expansion.
  • Develop segmentation, propensity, attribution, optimization, forecasting, and planning models to improve growth investment and operating decisions.
  • Build experimentation frameworks and establish best practices for experiment design, causal inference, measurement, and interpretation.
  • Develop metrics, dashboards, intelligent analytics tools, and Generative AI applications that improve targeting and automate insight generation.
  • Partner with engineering and data platform teams to productionize models and analytical products.

Requirements

  • 10+ years of experience in data science, analytics, quantitative strategy, or applied machine learning, including 5+ years leading high-performing technical teams.
  • Bachelor’s or Master’s degree in a quantitative field, or equivalent practical experience.
  • Deep expertise in experimentation, causal inference, forecasting, applied machine learning, SQL, and Python or R.
  • Experience with modern data platforms and tooling such as Databricks, Snowflake, dbt, Airflow, or equivalent.
  • Experience productionizing Generative AI applications, intelligent analytics tools, or agentic workflows.
  • Ability to influence executive stakeholders and translate analytical insights into measurable business outcomes.

Nice to have

  • Advanced degree in Econometrics, Statistics, Machine Learning, Computer Science, Economics, or a related discipline.
  • Experience in fintech, payments, financial services, or high-growth B2B SaaS.
  • Experience with customer lifecycle analytics, marketing measurement, attribution, pricing, or sales optimization.
  • Experience building data products or decision systems used by senior executives and cross-functional teams.

Culture & Benefits

  • Work with a global financial infrastructure platform serving businesses across multiple regions.
  • US-based employees receive medical, dental, and vision insurance, a 401(k) plan, disability coverage, life insurance, and well-being benefits.
  • US-based employees receive 20 paid vacation days and 12 paid company holidays annually.
  • Compensation may include equity, annual bonuses, commissions, RSUs, or other additional components.

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