---
type: JobPosting
title: Data Science Director, Growth
company: Airwallex
companyWebsite: "https://airwallex.com"
category: growth-marketing
seniority: DIRECTOR
contractType: FULL_TIME
remote: ONSITE
location: San Francisco, CA
salaryMin: 280000
salaryMax: 360000
salaryCurrency: USD
market: USA
postedAt: 2026-06-18
applyUrl: "https://jobs.ashbyhq.com/airwallex/efdfd527-8061-42dd-864d-90397c1ae50e/application?utm_source=linkedin"
canonical: "https://www.growthtalent.org/empleos/growth-marketing/airwallex/data-science-director-growth-airwallex"
---

# Data Science Director, Growth

**Airwallex** · San Francisco, CA

<!--rich-->{"tags":["B2B SaaS","On-site SF","$280K-$360K","Director","Data Science","Growth Leadership","FinTech"],"challenge":"Airwallex is a $8B payments platform serving 200K+ global businesses. As Data Science Director for Growth, you'll architect the experimentation and AI engine driving their next hypergrowth phase-owning everything from A/B testing to agentic workflows that unlock step-function improvements in acquisition, activation, and monetization.","objectives3m":["Audit current experimentation framework; design and socialize scalable A/B testing + multi-armed bandit infrastructure","Build and hire core DS team (3-5 ICs); establish team rituals, tech stack, and growth science operating principles","Launch 3-5 high-impact experiments across activation and conversion with clear impact on product roadmap","Define success metrics and baseline KPIs for growth funnel (CAC, activation rate, LTV, payback period)"],"objectives6m":["Deploy ML-driven personalization engine (embeddings + recommendation models) into product for lifecycle messaging","Build first agentic workflow-automated campaign generation or sales assistant bot-live and driving incremental revenue","Scale experimentation cadence to 15+ concurrent experiments; establish causal inference capabilities for complex questions","Present quarterly growth science roadmap to executive team with $XXM revenue impact forecasts and team expansion plan"],"kpis":[{"metric":"Monthly Active Experimentation Velocity","description":"Number of concurrent, statistically valid experiments running; target incrementally from current baseline to 20+ by month 6."},{"metric":"Growth Funnel Metrics (CAC, Activation Rate, LTV)","description":"Track acquisition cost, % of users completing key activation events, and 12-month LTV; measure impact of DS-led initiatives."},{"metric":"AI Solution Adoption & Revenue Lift","description":"% of users exposed to personalization engine, agentic workflows, and segment-based messaging; measure incremental revenue attribution."},{"metric":"Team Throughput & Capability","description":"Number of production ML models deployed per quarter; on-time delivery of experimentation requests from product/marketing."}],"tools":["Python (scikit-learn, TensorFlow, PyTorch)","A/B testing & experimentation platforms (Statsig, LaunchDarkly, or in-house)","SQL & data warehousing (Snowflake, BigQuery, Redshift)","BI tools (Tableau, Looker, Mode)","Multi-armed bandit & causal inference libraries (Bandit, DoWhy)","LLM/GenAI frameworks (OpenAI, Anthropic, LangChain)","Personalization engines (Segment, mParticle, or custom embeddings)","Collaboration & analysis notebooks (Jupyter, Databricks)"],"team":{"manager":"VP/Chief Product Officer or Chief Revenue Officer (implied from role level)","current":"3-5 ICs (estimated based on 'build and scale' language); likely junior-to-mid DS engineers, analytics engineers","hiring":"New expansion hire; high likelihood of backfill and team growth"},"compensation":{"salary":"$280K-$360K base","variable":"15-25% performance bonus (typical for director-level fintech)","equity":"0.10%-0.35% RSUs (4-year vest, typical post-Series D unicorn)","remote":"On-site, San Francisco. No remote flexibility indicated."},"benefits":["Equity (RSUs) in $8B unicorn-track fintech company","Competitive health, dental, vision insurance + 401k match","Professional development budget for ML/AI certifications and conferences","Flexible PTO and parental leave (standard for series D+ tech)","On-site perks (cafeteria, wellness programs typical of SF tech hubs)"],"company":{"about":"Airwallex is a unified payments and financial platform for global businesses, serving 200K+ customers (Brex, Rippling, Navan, Qantas, SHEIN). Founded in Melbourne, $8B valuation, 2,000+ employees across 26 offices. Backed by T. Rowe Price, Visa, Mastercard, Sequoia, Salesforce Ventures.","founded":2015,"headcount":2000,"funding":"$8B valuation (Series D+)","customers":"200,000+ businesses globally (Brex, Rippling, Navan, Qantas, SHEIN, etc.)","culture":"Founder-like energy, builder mentality, first-principles thinking, bias toward speed + rigor, AI-forward, end-to-end ownership, collaborative, mission-driven."},"forYouIf":["You've led a data science or analytics team (3+ people) at a B2B SaaS or fintech company and shipped models to production","You're fluent in experimentation design, causal inference, and ML-and can code (Python) and debug your own ideas","You thrive scaling teams and mentoring engineers; you get excited building culture and defining best practices","You have founder-like energy: you move fast, ship early, and balance rigor with pragmatism; you use AI tools to amplify your leverage"],"wontWorkIf":["You're primarily an academic or researcher; you need perfect data and months to publish vs. shipping working solutions in weeks","You require remote flexibility; this role is on-site in San Francisco, no exceptions","You've never shipped a live ML model or led through a hypergrowth phase; you lack the operational muscle for a scaling fintech"],"interviewProcess":[{"step":"Screen (30 min)","detail":"Recruiter or hiring manager: Confirm team leadership experience, growth science fluency, and mission fit."},{"step":"Manager Deep Dive (60 min)","detail":"VP/CRO or Head of Product: Discuss your experimentation philosophy, team building approach, and how you'd tackle their current growth problems."},{"step":"Technical Case Study (90 min)","detail":"Data science team lead: Present a past project (experiment design, ML model, personalization system, agentic workflow). Live Q&A on methodology and trade-offs."},{"step":"Leadership Panel (60 min)","detail":"Cross-functional (2-3 leaders from Product, Engineering, Finance): Culture fit, ability to partner, and vision for growth science roadmap."},{"step":"Offer & Close (30 min)","detail":"CEO or VP: Mission pitch, growth opportunity, and comp discussion."}]}

[Apply →](https://jobs.ashbyhq.com/airwallex/efdfd527-8061-42dd-864d-90397c1ae50e/application?utm_source=linkedin)

---

Canonical: https://www.growthtalent.org/empleos/growth-marketing/airwallex/data-science-director-growth-airwallex