Чётко описанная роль уровня Staff сочетает production ML, причинно-следственный анализ и AI-системы, а зарплата выше рыночного ориентира; основные нюансы - интенсивная культура и работа из офиса три дня в неделю.
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Высокий темпСовременный стекЗарплата выше рынкаРастущий финтехПонятная роль
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Staff Data Scientist, Algorithm, Growth (AI): Building predictive models, recommendation systems, LLM-powered applications, causal inference models, and AI decision systems that improve customer acquisition, activation, engagement, retention, and expansion with an accent on production machine learning, experimentation, and measurable growth outcomes. Focus on designing reliable AI harnesses, evaluating causal impact, building systems of decision and action, and providing technical leadership across cross-functional teams.
Location: Seattle; hybrid work with three days per week in the office
Salary: $250,000–$299,000 base pay annually, plus potential equity and bonus.
Company
Airwallex is an AI-native financial operating system providing global payments infrastructure and financial products for businesses.
What you will do
Design, deploy, and iterate on predictive models, personalization and recommendation systems, LLM-powered applications, incentive optimization frameworks, and causal inference models.
Build scalable data science systems that improve customer acquisition, activation, engagement, retention, and expansion.
Partner with Growth, Marketing, Product, Sales, and Engineering to turn data and AI into recommendations and go-to-market decisions.
Measure the causal impact of marketing and growth initiatives and translate findings into action.
Build AI analytics harnesses with semantic layers, context retrieval, evaluation infrastructure, validation gates, and governance.
Provide hands-on technical leadership, mentorship, and long-term direction for the data science team.
Requirements
7+ years of industry experience and an advanced degree such as a PhD or MS in a quantitative field.
Expert knowledge of machine learning and statistical modeling for data-driven growth strategy.
Experience building, deploying, and maintaining production machine learning models in cloud-based, real-time, or batch systems.
Strong experience with SQL and Python.
Experience applying machine learning and statistical models to measure the causal impact of marketing or growth initiatives.
Strong experience with AI harnesses and building AI agents.
Nice to have
Experience with schema design and dimensional data modeling.
Experience communicating analysis and recommendations to leadership and cross-functional teams.
Experience in technology, financial services, or a high-growth environment.
Experience mentoring on machine learning and experimentation.
Culture & Benefits
Ownership of the roadmap and outcomes with autonomy in decision-making.
Fast-paced, first-principles working environment focused on curiosity, judgment, and measurable results.
US-based employees may receive medical, dental, vision, 401(k), disability, life insurance, and well-being benefits.
US-based employees receive 20 paid vacation days and 12 paid company holidays annually.
Additional compensation may include equity, annual bonuses, commissions, or RSUs.
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