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Staff Data Scientist Careers at Airwallex - Singapore | Apply Now!

Airwallex

Staff Data Scientist Careers at Airwallex - Singapore | Apply Now!

full-timePosted: Oct 18, 2024

Job Description

Staff Data Scientist at Airwallex - Singapore

Role Overview

Airwallex is seeking a highly skilled and experienced Staff Data Scientist to join our growing data science team in Singapore. As a Staff Data Scientist, you will play a critical role in shaping the future of our products and driving data-driven decision-making across the organization. You will provide technical mentorship to the data science team, lead complex data projects, and serve as a strategic thought leader with cross-functional teams. This is an exciting opportunity to work on challenging problems in the fintech industry and make a significant impact on a global scale.

A Day in the Life

Here's a glimpse into what your day might look like as a Staff Data Scientist at Airwallex:

  • Morning: Start your day by reviewing the performance of key product metrics and identifying any trends or anomalies. Participate in a team stand-up to discuss ongoing projects and address any roadblocks.
  • Mid-day: Collaborate with product managers and engineers to define the requirements for a new feature or product. Design and implement experiments to test the effectiveness of different approaches.
  • Afternoon: Work on building and optimizing machine learning models to improve fraud detection, risk assessment, or customer segmentation. Present your findings and recommendations to stakeholders.
  • Late Afternoon: Mentor junior data scientists and provide guidance on their projects. Participate in code reviews and share your knowledge with the team.
  • Evening: Stay up-to-date with the latest advancements in data science and machine learning. Explore new tools and techniques to improve our data science capabilities.

Why Singapore?

Singapore is a vibrant and dynamic city that serves as a major hub for fintech innovation in Southeast Asia. Airwallex's Singapore office is located in the heart of the city, providing access to a thriving ecosystem of startups, investors, and talent. Singapore offers a high quality of life, a diverse culture, and a strong commitment to technological advancement. It's an ideal location for data scientists who want to be at the forefront of the fintech revolution.

Career Path

At Airwallex, we are committed to providing our employees with opportunities for growth and development. As a Staff Data Scientist, you will have the opportunity to advance your career in several directions:

  • Principal Data Scientist: Lead a team of data scientists and drive the development of our data science strategy.
  • Data Science Manager: Manage a team of data scientists and oversee the execution of data science projects.
  • Research Scientist: Focus on developing cutting-edge machine learning models and algorithms.
  • Technical Lead: Become a technical expert in a specific area of data science and provide guidance to other team members.

Salary & Benefits

Airwallex offers a competitive salary and benefits package that includes:

  • Competitive salary commensurate with experience
  • Comprehensive health, dental, and vision insurance
  • Generous paid time off policy
  • Stock options
  • Professional development opportunities
  • Employee assistance program
  • Wellness programs
  • Flexible work arrangements
  • Company-sponsored events and activities
  • Commuter benefits
  • Parental leave
  • Retirement plan
  • Learning and development budget

Airwallex Culture

Airwallex is a fast-paced and innovative company with a strong emphasis on teamwork and collaboration. We value our employees and provide them with the resources and support they need to succeed. We are committed to building a diverse and inclusive work environment where everyone feels welcome and respected. Our operating principles guide our daily actions: Customer First, Be Bold, Stay Humble, and Get it Done. We work to solve complex, high‑visibility problems with exceptional teammates and grow your career as we build the future of global banking.

How to Apply

If you are a passionate and experienced data scientist who is looking for a challenging and rewarding opportunity, we encourage you to apply. Please submit your resume and cover letter through our online application portal. Be sure to highlight your relevant skills and experience, and explain why you are interested in working at Airwallex.

Frequently Asked Questions (FAQ)

  1. What is Airwallex? Airwallex is a global payments and financial platform for modern businesses. We help businesses of all sizes to manage their finances and make payments around the world.
  2. What does the data science team do at Airwallex? The data science team at Airwallex is responsible for developing and implementing data-driven solutions to improve our products and services. We work on a wide range of projects, including fraud detection, risk assessment, customer segmentation, and personalized recommendations.
  3. What skills are required for this role? The ideal candidate will have 7+ years of experience in data science, a strong background in statistical modeling and machine learning, and excellent communication and presentation skills.
  4. What is the interview process like? The interview process typically consists of a phone screening, a technical interview, and a behavioral interview.
  5. What are the opportunities for growth at Airwallex? Airwallex offers a variety of opportunities for growth and development. We encourage our employees to take on new challenges and expand their skills.
  6. What is the work environment like at Airwallex? Airwallex is a fast-paced and innovative company with a strong emphasis on teamwork and collaboration. We value our employees and provide them with the resources and support they need to succeed.
  7. What is Airwallex's approach to work-life balance? Airwallex supports flexible work arrangements to help employees balance their work and personal lives.
  8. Does Airwallex offer relocation assistance? Relocation assistance may be available for qualified candidates.
  9. Does Airwallex sponsor visas? Visa sponsorship may be available for qualified candidates.
  10. What are Airwallex's core values? Our operating principles guide our daily actions: Customer First, Be Bold, Stay Humble, and Get it Done.

Locations

  • Singapore, Singapore, Singapore

Salary

Estimated Salary Rangemedium confidence

198,000 - 308,000 USD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Data Scienceintermediate
  • Machine Learningintermediate
  • Experimentationintermediate
  • Quantitative Analysisintermediate
  • Data Miningintermediate
  • Product Strategyintermediate
  • Statistical Modelingintermediate
  • Predictive Analyticsintermediate
  • Data Visualizationintermediate
  • A/B Testingintermediate
  • SQLintermediate
  • Pythonintermediate
  • Rintermediate
  • Cloud Computing (AWS, Azure, GCP)intermediate
  • Deep Learningintermediate
  • Natural Language Processing (NLP)intermediate
  • Big Data Technologies (Spark, Hadoop)intermediate
  • Data Engineeringintermediate
  • Data Warehousingintermediate
  • Business Intelligence (BI)intermediate

Required Qualifications

  • 7+ years of industry experience in data science or related field (experience)
  • Advanced degree (PhD or MS) in a quantitative field (e.g., Statistics, Engineering, Sciences, Computer Science, Economics) (experience)
  • Proficiency in statistical modeling, machine learning, and data mining techniques (experience)
  • Experience with designing and analyzing experiments (e.g., A/B testing) (experience)
  • Strong programming skills in languages such as Python, R, or similar (experience)
  • Experience with large datasets and distributed computing environments (experience)
  • Excellent communication and presentation skills (experience)
  • Ability to influence strategy through data-driven insights (experience)
  • Technical mentorship experience (experience)
  • Experience with cloud computing platforms (e.g., AWS, Azure, GCP) (experience)
  • Experience with data visualization tools (e.g., Tableau, Power BI) (experience)
  • Strong understanding of product development lifecycle (experience)
  • Experience working with cross-functional teams (experience)
  • Experience in the fintech industry is a plus (experience)
  • Experience with deep learning frameworks (e.g., TensorFlow, PyTorch) is a plus (experience)

Responsibilities

  • Provide technical mentorship to the data science team
  • Assume hands-on leadership to resolve complex data problems
  • Set the vision for the long-term direction of data science initiatives
  • Serve as a strategic thought leader with cross-functional teams
  • Inform and influence strategy and investment decisions
  • Support and execute data-driven strategies
  • Apply technical expertise in quantitative analysis, experimentation, and data mining
  • Develop data-driven strategies for our products
  • Identify and measure the success of product efforts
  • Set goals and forecast key product metrics
  • Monitor key product metrics to understand trends
  • Communicate the results of analyses to leadership and cross-functional teams
  • Collaborate with Product, Engineering, Marketing, Sales, and Finance teams
  • Develop and maintain data pipelines and infrastructure
  • Implement and optimize machine learning models
  • Contribute to the development of data science best practices
  • Stay up-to-date with the latest advancements in data science and machine learning
  • Present data insights and recommendations to stakeholders
  • Participate in code reviews and knowledge sharing sessions
  • Lead data science projects from inception to completion

Benefits

  • general: Competitive salary and benefits package
  • general: Comprehensive health insurance
  • general: Generous paid time off
  • general: Stock options
  • general: Professional development opportunities
  • general: Employee assistance program
  • general: Wellness programs
  • general: Flexible work arrangements
  • general: Company-sponsored events and activities
  • general: Commuter benefits
  • general: Parental leave
  • general: Retirement plan
  • general: Learning and development budget
  • general: Opportunity to work on challenging and impactful projects
  • general: Collaborative and supportive work environment
  • general: Access to cutting-edge technologies
  • general: Global team and international opportunities
  • general: Relocation assistance (if applicable)
  • general: Visa sponsorship (if applicable)
  • general: Employee referral program

Target Your Resume for "Staff Data Scientist Careers at Airwallex - Singapore | Apply Now!" , Airwallex

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Airwallex logo

Staff Data Scientist Careers at Airwallex - Singapore | Apply Now!

Airwallex

Staff Data Scientist Careers at Airwallex - Singapore | Apply Now!

full-timePosted: Oct 18, 2024

Job Description

Staff Data Scientist at Airwallex - Singapore

Role Overview

Airwallex is seeking a highly skilled and experienced Staff Data Scientist to join our growing data science team in Singapore. As a Staff Data Scientist, you will play a critical role in shaping the future of our products and driving data-driven decision-making across the organization. You will provide technical mentorship to the data science team, lead complex data projects, and serve as a strategic thought leader with cross-functional teams. This is an exciting opportunity to work on challenging problems in the fintech industry and make a significant impact on a global scale.

A Day in the Life

Here's a glimpse into what your day might look like as a Staff Data Scientist at Airwallex:

  • Morning: Start your day by reviewing the performance of key product metrics and identifying any trends or anomalies. Participate in a team stand-up to discuss ongoing projects and address any roadblocks.
  • Mid-day: Collaborate with product managers and engineers to define the requirements for a new feature or product. Design and implement experiments to test the effectiveness of different approaches.
  • Afternoon: Work on building and optimizing machine learning models to improve fraud detection, risk assessment, or customer segmentation. Present your findings and recommendations to stakeholders.
  • Late Afternoon: Mentor junior data scientists and provide guidance on their projects. Participate in code reviews and share your knowledge with the team.
  • Evening: Stay up-to-date with the latest advancements in data science and machine learning. Explore new tools and techniques to improve our data science capabilities.

Why Singapore?

Singapore is a vibrant and dynamic city that serves as a major hub for fintech innovation in Southeast Asia. Airwallex's Singapore office is located in the heart of the city, providing access to a thriving ecosystem of startups, investors, and talent. Singapore offers a high quality of life, a diverse culture, and a strong commitment to technological advancement. It's an ideal location for data scientists who want to be at the forefront of the fintech revolution.

Career Path

At Airwallex, we are committed to providing our employees with opportunities for growth and development. As a Staff Data Scientist, you will have the opportunity to advance your career in several directions:

  • Principal Data Scientist: Lead a team of data scientists and drive the development of our data science strategy.
  • Data Science Manager: Manage a team of data scientists and oversee the execution of data science projects.
  • Research Scientist: Focus on developing cutting-edge machine learning models and algorithms.
  • Technical Lead: Become a technical expert in a specific area of data science and provide guidance to other team members.

Salary & Benefits

Airwallex offers a competitive salary and benefits package that includes:

  • Competitive salary commensurate with experience
  • Comprehensive health, dental, and vision insurance
  • Generous paid time off policy
  • Stock options
  • Professional development opportunities
  • Employee assistance program
  • Wellness programs
  • Flexible work arrangements
  • Company-sponsored events and activities
  • Commuter benefits
  • Parental leave
  • Retirement plan
  • Learning and development budget

Airwallex Culture

Airwallex is a fast-paced and innovative company with a strong emphasis on teamwork and collaboration. We value our employees and provide them with the resources and support they need to succeed. We are committed to building a diverse and inclusive work environment where everyone feels welcome and respected. Our operating principles guide our daily actions: Customer First, Be Bold, Stay Humble, and Get it Done. We work to solve complex, high‑visibility problems with exceptional teammates and grow your career as we build the future of global banking.

How to Apply

If you are a passionate and experienced data scientist who is looking for a challenging and rewarding opportunity, we encourage you to apply. Please submit your resume and cover letter through our online application portal. Be sure to highlight your relevant skills and experience, and explain why you are interested in working at Airwallex.

Frequently Asked Questions (FAQ)

  1. What is Airwallex? Airwallex is a global payments and financial platform for modern businesses. We help businesses of all sizes to manage their finances and make payments around the world.
  2. What does the data science team do at Airwallex? The data science team at Airwallex is responsible for developing and implementing data-driven solutions to improve our products and services. We work on a wide range of projects, including fraud detection, risk assessment, customer segmentation, and personalized recommendations.
  3. What skills are required for this role? The ideal candidate will have 7+ years of experience in data science, a strong background in statistical modeling and machine learning, and excellent communication and presentation skills.
  4. What is the interview process like? The interview process typically consists of a phone screening, a technical interview, and a behavioral interview.
  5. What are the opportunities for growth at Airwallex? Airwallex offers a variety of opportunities for growth and development. We encourage our employees to take on new challenges and expand their skills.
  6. What is the work environment like at Airwallex? Airwallex is a fast-paced and innovative company with a strong emphasis on teamwork and collaboration. We value our employees and provide them with the resources and support they need to succeed.
  7. What is Airwallex's approach to work-life balance? Airwallex supports flexible work arrangements to help employees balance their work and personal lives.
  8. Does Airwallex offer relocation assistance? Relocation assistance may be available for qualified candidates.
  9. Does Airwallex sponsor visas? Visa sponsorship may be available for qualified candidates.
  10. What are Airwallex's core values? Our operating principles guide our daily actions: Customer First, Be Bold, Stay Humble, and Get it Done.

Locations

  • Singapore, Singapore, Singapore

Salary

Estimated Salary Rangemedium confidence

198,000 - 308,000 USD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Data Scienceintermediate
  • Machine Learningintermediate
  • Experimentationintermediate
  • Quantitative Analysisintermediate
  • Data Miningintermediate
  • Product Strategyintermediate
  • Statistical Modelingintermediate
  • Predictive Analyticsintermediate
  • Data Visualizationintermediate
  • A/B Testingintermediate
  • SQLintermediate
  • Pythonintermediate
  • Rintermediate
  • Cloud Computing (AWS, Azure, GCP)intermediate
  • Deep Learningintermediate
  • Natural Language Processing (NLP)intermediate
  • Big Data Technologies (Spark, Hadoop)intermediate
  • Data Engineeringintermediate
  • Data Warehousingintermediate
  • Business Intelligence (BI)intermediate

Required Qualifications

  • 7+ years of industry experience in data science or related field (experience)
  • Advanced degree (PhD or MS) in a quantitative field (e.g., Statistics, Engineering, Sciences, Computer Science, Economics) (experience)
  • Proficiency in statistical modeling, machine learning, and data mining techniques (experience)
  • Experience with designing and analyzing experiments (e.g., A/B testing) (experience)
  • Strong programming skills in languages such as Python, R, or similar (experience)
  • Experience with large datasets and distributed computing environments (experience)
  • Excellent communication and presentation skills (experience)
  • Ability to influence strategy through data-driven insights (experience)
  • Technical mentorship experience (experience)
  • Experience with cloud computing platforms (e.g., AWS, Azure, GCP) (experience)
  • Experience with data visualization tools (e.g., Tableau, Power BI) (experience)
  • Strong understanding of product development lifecycle (experience)
  • Experience working with cross-functional teams (experience)
  • Experience in the fintech industry is a plus (experience)
  • Experience with deep learning frameworks (e.g., TensorFlow, PyTorch) is a plus (experience)

Responsibilities

  • Provide technical mentorship to the data science team
  • Assume hands-on leadership to resolve complex data problems
  • Set the vision for the long-term direction of data science initiatives
  • Serve as a strategic thought leader with cross-functional teams
  • Inform and influence strategy and investment decisions
  • Support and execute data-driven strategies
  • Apply technical expertise in quantitative analysis, experimentation, and data mining
  • Develop data-driven strategies for our products
  • Identify and measure the success of product efforts
  • Set goals and forecast key product metrics
  • Monitor key product metrics to understand trends
  • Communicate the results of analyses to leadership and cross-functional teams
  • Collaborate with Product, Engineering, Marketing, Sales, and Finance teams
  • Develop and maintain data pipelines and infrastructure
  • Implement and optimize machine learning models
  • Contribute to the development of data science best practices
  • Stay up-to-date with the latest advancements in data science and machine learning
  • Present data insights and recommendations to stakeholders
  • Participate in code reviews and knowledge sharing sessions
  • Lead data science projects from inception to completion

Benefits

  • general: Competitive salary and benefits package
  • general: Comprehensive health insurance
  • general: Generous paid time off
  • general: Stock options
  • general: Professional development opportunities
  • general: Employee assistance program
  • general: Wellness programs
  • general: Flexible work arrangements
  • general: Company-sponsored events and activities
  • general: Commuter benefits
  • general: Parental leave
  • general: Retirement plan
  • general: Learning and development budget
  • general: Opportunity to work on challenging and impactful projects
  • general: Collaborative and supportive work environment
  • general: Access to cutting-edge technologies
  • general: Global team and international opportunities
  • general: Relocation assistance (if applicable)
  • general: Visa sponsorship (if applicable)
  • general: Employee referral program

Target Your Resume for "Staff Data Scientist Careers at Airwallex - Singapore | Apply Now!" , Airwallex

Get personalized recommendations to optimize your resume specifically for Staff Data Scientist Careers at Airwallex - Singapore | Apply Now!. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "Staff Data Scientist Careers at Airwallex - Singapore | Apply Now!" , Airwallex

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

Data ScienceSingaporeFintechMachine LearningSenior RoleData ScientistMachine Learning EngineerAI SpecialistData AnalystSingapore Data Science JobsFintech Data ScienceAirwallex CareersStatistical ModelingPredictive AnalyticsData MiningA/B TestingPythonRSQLCloud ComputingAWSAzureGCPDeep LearningNLPBig DataSparkHadoopData EngineeringData WarehousingBusiness IntelligenceFinancial TechnologyPayments PlatformSingapore Tech JobsFinTechPaymentsEngineeringProduct

Answer 10 quick questions to check your fit for Staff Data Scientist Careers at Airwallex - Singapore | Apply Now! @ Airwallex.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.