layiq

/la·yiq/adjective

worthy; deserving; fitting; suitable.

A role, opportunity, or path that merits attention, time, and pursuit.

LAYIQ - Head of Growth Data Science at Airwallex, San Francisco, CA

Act as a strategic data partner to senior leaders across Growth, Product, Marketing, Sales, and regional businesses.
Translate complex analyses into clear recommendations that shape business strategy and investment decisions.
Establish a consistent, trusted framework for measuring growth performance across markets, channels, and customer segments.
Lead analytical efforts across the growth funnel, including acquisition, activation, conversion, retention, and expansion.
Identify opportunities to improve channel efficiency, customer journeys, pricing, and go-to-market performance.
Develop segmentation, propensity, attribution, and optimization models to inform growth initiatives.
Build and scale experimentation frameworks to measure the impact of product, marketing, and commercial initiatives.
Lead the application of causal inference techniques to distinguish correlation from true incremental impact.
Establish best practices for experiment design, measurement, interpretation, and decision-making.
Own forecasting and planning models that support growth targets, resource allocation, and business reviews.
Develop metrics, dashboards, and analytical tools that provide timely visibility into growth performance.
Partner with Finance and business leaders to connect operating drivers with financial outcomes.
Define the roadmap for applying machine learning and Generative AI to growth analytics and decision-making.
Build intelligent tools that automate insight generation, improve targeting, and enhance operational efficiency.
Partner with engineering and data platform teams to productionize models and analytical products.
Who You Are
Growth-oriented leader: You have 10+ years of experience in data science, analytics, applied machine learning, or quantitative strategy, including 5+ years leading high-performing teams.
Strong technical foundation: You have deep expertise in experimentation, causal inference, forecasting, applied machine learning, SQL, and Python or R.
Strategic operator: You are comfortable prioritizing ambiguous problems, balancing trade-offs, and focusing teams on initiatives with measurable growth impact.
Hands-on builder: You can engage deeply with technical work while building scalable systems, analytical frameworks, and team practices.
Executive influencer: You communicate complex findings clearly and can influence senior stakeholders through rigorous analysis and practical recommendations.
Customer-centric thinker: You are passionate about understanding customer behavior and using data to create better experiences and stronger business outcomes.

Advanced degree in Econometrics, Statistics, Machine Learning, Computer Science, Economics, or a related quantitative discipline.
Experience in fintech, payments, financial services, or high-growth B2B SaaS.
Experience leading data science teams across multiple growth functions, markets, or product lines.
Experience with customer lifecycle analytics, marketing measurement, attribution, pricing, or sales optimization.
Familiarity with global payments, cross-border commerce, and regional differences in customer and market behavior.
Experience building data products or decision systems used by senior executives and cross-functional teams.
Applicant Safety Policy: Fraud and Third-Party Recruiters
To protect you from recruitment scams, please be aware that Airwallex will not ask for bank details, sensitive ID numbers (i.e. passport), or any form of payment during the application or interview process. All official communication will come from an @ airwallex.com email address. Please apply only through careers.airwallex.com or our official LinkedIn page.
Airwallex does not accept unsolicited resumes from search firms/recruiters. Airwallex will not pay any fees to search firms/recruiters if a candidate is submitted by a search firm/recruiter unless an agreement has been entered into with respect to specific open position(s). Search firms/recruiters submitting resumes to Airwallex on an unsolicited basis shall be deemed to accept this condition, regardless of any other provision to the contrary.
Equal opportunity
Airwallex is proud to be an equal opportunity employer. We value diversity and anyone seeking employment at Airwallex is considered based on merit, qualifications, competence and talent. We don’t regard color, religion, race, national origin, sexual orientation, ancestry, citizenship, sex, marital or family status, disability, gender, or any other legally protected status when making our hiring decisions. If you have a disability or special need that requires accommodation, please let us know.

Head of Growth Data Science

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