Staff Data Scientist, Algorithm – Growth

Airwallex

. Provide technical mentorship and hands-on leadership to resolve complex problems .

Posted 10/12/2026full-timeSan Francisco • California • United StatesLead💰 $250,000 - $299,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in machine learning and statistical modeling to drive data-driven growth strategies, while providing technical mentorship and leadership to cross-functional teams. Proficient in deploying predictive models and translating data insights into actionable recommendations for customer engagement and retention.

Highest-signal resume keywords

Machine Learning ExpertiseStatistical ModelingTechnical MentorshipData Querying (SQL)Scripting (Python)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningStatistical ModelingPredictive ModelingCausal InferenceData AnalysisSchema DesignDimensional Data ModelingCloud-Based ServicesReal-Time PipelinesBatch Pipelines

Soft Skills

CommunicationLeadershipCollaborationInfluencing StrategyMentoring

Certifications & Qualifications

Advanced Degree (PhD or MS)

Industry Keywords

Data ScienceMarketing StrategyCustomer AcquisitionEngagement StrategyRetention StrategyHigh-Growth EnvironmentFinancial ServicesTechnology

Tech Stack

Tools & technologies

CloudPythonSQL

About the role

Key responsibilities & impact

Provide technical mentorship and hands-on leadership to resolve complex problems
Set the long-term vision and direction for the data science team
Partner with Marketing, Growth Product, Engineering, and cross-functional teams on go-to-market strategy and investment decisions
Design and deploy predictive models, personalization and recommendation systems, LLM-powered applications, incentive optimization frameworks, and causal inference models
Apply machine learning and statistical models to measure the causal impact of marketing initiatives
Translate data insights into actionable recommendations that strengthen brand presence and accelerate growth
Influence customer acquisition, engagement, and retention strategy globally

Requirements

What you’ll need

7+ years industry experience
Advanced degree (PhD or MS) in a quantitative field such as Statistics, Engineering, Sciences, Computer Science, or Economics
Experience communicating analysis results to leadership and cross-functional teams to influence strategy
Technical mentorship experience with machine learning and experimentation in an industry setting
Expert knowledge of machine learning and statistical modeling for data-driven growth strategy
Hands-on experience building, deploying, and maintaining machine learning models in production-grade systems, including cloud-based services and real-time and batch pipelines
Expert proficiency in data querying languages such as SQL and scripting languages such as Python
Experience in schema design and dimensional data modeling is a plus
Experience in technology, financial services, and/or a high-growth environment is advantageous

Benefits

Comp & perks

Equity
Annual bonuses
Medical, dental, and vision insurance
401(k) plan
Short-term and long-term disability
Basic life insurance
Well-being benefits
20 paid days of vacation
12 paid days of company holidays
Statutory minimum paid annual leave and public holidays