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Airwallex
Airwallex
1.001 – 5.000 Angajați
Sponsor pentru viza H1BFinanțeFintechPlăți
Airwallex este o companie de tehnologie financiară care dezvoltă soluții pentru plăți globale, gestionarea trezoreriei și operațiunile financiare ale companiilor. Platforma sa reunește conturi de afaceri, gestionarea cheltuielilor, servicii de plată, tranzacții în mai multe valute, schimb valutar, transferuri internaționale și componente de finanțare integrată, pe care companiile le pot folosi pentru a crea produse financiare personalizate. Airwallex sprijină peste 150.000 de companii și se concentrează pe o infrastructură sigură, fiabilă și conformă cu reglementările pentru gestionarea banilor peste granițe. Contextul său de recrutare include echipe care lucrează în tehnologie financiară, plăți, finanțe și sistemele care susțin comerțul global modern.
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Locurile de muncă ale companiei

Staff Data Scientist, Growth Algorithms

Lead the development of machine learning and causal inference solutions that support Airwallex’s global growth. Work with Marketing and Growth teams to improve customer acquisition, engagement, and retention.

USStatele Unite ale AmericiiCACalifornia
250.000 $ – 299.000 $ / an
HibridNormă întreagăLiderLimbă Obligatorie: englezăSpecialist în știința datelor
CloudPythonSQL

Descriere

  • Mentor data scientists and provide hands-on technical leadership to solve complex problems
  • Set the long-term vision and direction for the data science team
  • Work with Marketing, Growth Product, Engineering, and other teams on go-to-market strategy and investment decisions
  • Build and deploy predictive models, personalization and recommendation systems, LLM applications, incentive optimization frameworks, and causal inference models
  • Use machine learning and statistical methods to measure the causal impact of marketing initiatives
  • Turn data insights into recommendations that strengthen brand presence and support growth
  • Shape global strategies for customer acquisition, engagement, and retention

Cerințe

  • Bring at least 7 years of industry experience
  • Hold an advanced degree (PhD or MS) in a quantitative field such as Statistics, Engineering, Sciences, Computer Science, or Economics
  • Communicate analytical findings to leaders and cross-functional teams to influence strategy
  • Have industry experience mentoring others in machine learning and experimentation
  • Bring expert knowledge of machine learning and statistical modeling for data-driven growth strategy
  • Have hands-on experience building, deploying, and maintaining machine learning models in production systems, including cloud services and real-time and batch pipelines
  • Be highly proficient in SQL or similar data query languages and scripting languages such as Python
  • Schema design and dimensional data modeling experience is a plus
  • Experience in technology, financial services, or a high-growth environment is advantageous

Beneficii

  • Equity
  • Annual 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

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