
Airwallex एक फिनटेक कंपनी है जो वैश्विक भुगतान, ट्रेजरी और व्यावसायिक वित्तीय संचालन के लिए तकनीक विकसित करती है। इसका प्लेटफ़ॉर्म बिज़नेस अकाउंट, खर्च प्रबंधन, भुगतान सेवाएँ, बहु-मुद्रा लेन-देन, विदेशी मुद्रा, वैश्विक धन हस्तांतरण और एम्बेडेड वित्तीय घटकों को एक साथ लाता है, जिनका उपयोग व्यवसाय अपने अनुसार वित्तीय उत्पाद बनाने के लिए कर सकते हैं। Airwallex 150,000 से अधिक व्यवसायों को सहायता प्रदान करती है और सीमाओं के पार धन प्रबंधन के लिए सुरक्षित, भरोसेमंद और नियमों के अनुरूप बुनियादी ढाँचे पर ध्यान केंद्रित करती है। इसके भर्ती अवसरों में वित्तीय तकनीक, भुगतान, वित्त और आधुनिक वैश्विक वाणिज्य को समर्थन देने वाली प्रणालियों पर काम करने वाली टीमें शामिल हैं।
Staff Data Scientist, Growth Algorithms — Airwallex
Lead the development of predictive models, AI agents, and causal systems for Airwallex’s financial platform. Apply data science to improve customer acquisition, retention, and expansion.
$2,50,000 – $2,99,000 / वर्ष
हाइब्रिडपूर्णकालिकलीडआवश्यक भाषा: अंग्रेज़ीडेटा वैज्ञानिकविवरण
- Develop and refine predictive models, personalization and recommendation systems, LLM applications, incentive optimization, and causal inference models.
- Work with Growth, Marketing, Product, Sales, Engineering, and other teams to turn data and AI into recommendations, investment decisions, and go-to-market plans.
- Assess the causal impact of marketing and growth initiatives, determine what is effective, and turn findings into action.
- Provide hands-on technical leadership, mentorship, and long-term direction to raise the data science team’s capabilities.
- Create scalable decision systems with semantic layers, context retrieval, evaluation infrastructure, validation gates, and governance.
- Build machine learning and AI systems that influence product behavior, ranking, pricing, risk, allocation, and customer experiences.
- Bring structure to ambiguous problems, design experiments, account for confounding factors, challenge unreliable conclusions, and deliver dependable production systems.
आवश्यकताएँ
- At least 7 years of industry experience.
- An advanced degree, such as an MS or PhD, in a quantitative field such as statistics, engineering, science, computer science, or economics.
- Expertise in machine learning and statistical modeling for data-driven growth strategy.
- Practical experience building, deploying, and maintaining machine learning models in production systems, including cloud services and real-time or batch pipelines.
- Strong SQL and Python skills.
- Experience using machine learning and statistical models to measure the causal impact of marketing or growth initiatives.
- Strong experience with AI harnesses and building AI agents.
- Experience with schema design and dimensional data modeling.
- Experience communicating analyses and recommendations to leadership and cross-functional teams.
- Experience in technology, financial services, or a high-growth environment.
- Industry experience providing technical mentorship in machine learning and experimentation.
लाभ
- Equity
- Bonus
- Medical, dental, and vision insurance
- 401(k) plan
- Short- and long-term disability coverage
- Basic life insurance
- Well-being benefits
- 20 days of paid vacation
- 12 paid company holidays
- Statutory minimum paid annual leave and public holidays