Staff Data Scientist, Revenue Job at Airwallex (Singapore)

Staff Data Scientist, Analytics (Revenue Strategy)

The Strategic Data Science team provides Airwallex’s Leadership with the data, t...

Location

Singapore , Singapore

Salary:

Not provided

Airwallex

Expiration Date

Until further notice

Requirements

7+ years industry experience and an advanced degree (PhD or MS) in a quantitative field (e.g. Statistics, Engineering, Sciences, Computer Science, Economics)
Excellent communication skills, ideally with a proven track record of working directly with executive-level stakeholders to influence strategy
Expertise in causal inference methods and forecasting
Expertise in data querying languages (e.g. SQL) and scripting languages (e.g. Python, R)
Experience with data architecture technologies such as Airflow, Databricks, and dbt

Job Responsibility

Be the go-to data partner for the CEO and Regional Business Leads
Use causal inference methods to understand how macroeconomic events impact the business
Leverage AI to generate insights and improve business and team efficiency
Lead Airwallex’s forecasting efforts by 1) building tools that aggregate and evaluate forecasts 2) applying advanced statistical methods to build your own forecasts
Scope and build data products. In some cases building MVPs, and in others, fully fleshed out solutions
Mentor junior team members and cultivate an environment grounded in technical excellence, clear communication, and proactive critical thinking

Fulltime

Staff Data Scientist, GTM Analytics

We’re looking for talented Data Scientist who can push the boundaries of our exi...

Location

Singapore , Singapore

Salary:

Not provided

Airwallex

Expiration Date

Until further notice

Requirements

7+ years of industry experience and an advanced degree (MS or PhD) in a quantitative field (e.g., Statistics, Computer Science, Engineering, Economics, or a related discipline)
Strong analytical intuition and structured problem-solving
Excellent communicator and storyteller
Deep curiosity about GTM performance and customer behavior
Strong foundations in causal inference and forecasting
High fluency in analytics tooling—strong SQL skills and proficiency in Python and/or R for analysis, modeling, and automation

Job Responsibility

Translate complexity into action: Turn complex statistical and modeling results into clear, compelling, and actionable narratives for cross-functional partners and executive audiences
Uncover and scale revenue insights: Lead proactive, exploratory analyses to identify latent revenue levers, emerging trends, and root causes behind shifts in key GTM metrics—and operationalize these learnings into repeatable workflows, automated pipelines, and scalable data science operating models
Build revenue forecasting and performance insights: Develop and own revenue forecasting and forward-looking performance insights (e.g., pipeline health, conversion and retention drivers, scenario planning), providing a reliable “source of truth” that helps teams make faster, better commercial decisions
Apply advanced causal inference: Use advanced observational causal inference methods (e.g., DiD, synthetic control, DoubleML) to estimate impact and inform decisions when randomized experiments are infeasible
Embed AI into commercial workflows: Design and deploy AI-enabled solutions across the sales and customer lifecycle—enhancing sales calls and coaching, improving sales effectiveness, and generating proactive, transaction-based customer insights to drive retention and expansion

Fulltime

Staff Data Scientist, Sales Analytics

We’re looking for talented Data Scientist who can push the boundaries of our exi...

Location

Singapore , Singapore

Salary:

Not provided

Airwallex

Expiration Date

Until further notice

Requirements

7+ years of industry experience and an advanced degree (MS or PhD) in a quantitative field (e.g., Statistics, Computer Science, Engineering, Economics, or a related discipline)
Strong analytical intuition and structured problem-solving
Excellent communicator and storyteller
Deep curiosity about GTM performance and customer behavior
Strong foundations in causal inference and forecasting
High fluency in analytics tooling—strong SQL skills and proficiency in Python and/or R for analysis, modeling, and automation

Job Responsibility

Translate complexity into action: Turn complex statistical and modeling results into clear, compelling, and actionable narratives for cross-functional partners and executive audiences
Uncover and scale revenue insights: Lead proactive, exploratory analyses to identify latent revenue levers, emerging trends, and root causes behind shifts in key GTM metrics—and operationalize these learnings into repeatable workflows, automated pipelines, and scalable data science operating models
Build revenue forecasting and performance insights: Develop and own revenue forecasting and forward-looking performance insights (e.g., pipeline health, conversion and retention drivers, scenario planning), providing a reliable “source of truth” that helps teams make faster, better commercial decisions
Apply advanced causal inference: Use advanced observational causal inference methods (e.g., DiD, synthetic control, DoubleML) to estimate impact and inform decisions when randomized experiments are infeasible
Embed AI into commercial workflows: Design and deploy AI-enabled solutions across the sales and customer lifecycle—enhancing sales calls and coaching, improving sales effectiveness, and generating proactive, transaction-based customer insights to drive retention and expansion

Fulltime

Staff Product Analytics Engineer

This role is for our first-ever product analytics engineering hire, and a fundam...

Location

Salary:

200000.00 - 260000.00 USD / Year

Runway

Expiration Date

Until further notice

Requirements

4+ years of experience working as a data analyst, engineer, scientist or similar, where your primary responsibility involved working heavily with product data
4+ years of experience with SQL, ETL, python, and data modeling
Collaborative mindset and communication skills
Comfortable working directly with sales, product, finance, and engineering teammates
Understanding of best practices for data modeling, manipulation, transformation, and maintaining privacy

Job Responsibility

Own the data infrastructure and pipelines for business critical product and user data
Conceptualize and build best-in-class internal tools enabling others to increasingly self-serve data needs
Take an AI-first approach to scaling Runway’s data tooling and use
Work with sales and finance to ensure billing, revenue recognition, margin analysis, and other key financial metrics are accurate
Work with product and engineering to ensure critical usage data is available and interpreted in useful ways
Collaborate with with trust and safety teams on signals for detecting misuse or abuse
Collaborate with marketing and studios teams to help measure impact of all marketing initiatives
Build and maintain our data pipelines and third party tools that others use for dashboarding and analysis

Fulltime

Supervisor, Nursing Ambulatory Service

At Children’s Wisconsin, we believe kids deserve the best. Children’s Wisconsin ...

Location

United States , Appleton; Ashwaubenon

Salary:

Not provided

Children's Wisconsin

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Nursing Required
Applicants who are currently enrolled in a baccalaureate program in nursing with an anticipated graduation date within two years of hire/promotion Preferred
2+ years of outpatient clinical experience. Preference being in Pediatrics Required
Prior leadership experience, preferably in supervisory capacity Required
Good organizational and patient relation skills
Ability to manage a fast-paced patient load while paying attention to detail
High level of communication skills necessary for assessment of patient concerns and processing referrals for appropriate medical care
Ability to read, interpret and enact policies and procedures
Ability to stand and walk approximately 75% of the work time
BLS-Basic Life Support Healthcare Provider - American Heart Association/American Red Cross/National Safety Council required

Job Responsibility

Acts as an active member of the practice management team to support the care management model, standards of pediatric clinical practice, legal regulations, Code of Ethics and established policies of the Practice
Supervises professional, administrative and technical personnel (pediatric nurse practitioners, medical assistant, clinic secretaries,) providing patient care
Partners with Ambulatory Manager on business and financial operations
Exhibits guiding behaviors that reflect Children’s values and support our mission and vision
Monitors and evaluates office operations to ensure efficiency including, but not limited to scheduling, billing, patient records, telecommunications, patient referrals, MyChart, etc. Initiates clinical and operation improvement opportunities
Ensures effective communication of information between Ambulatory leadership and clinic staff, and facilitates communication between other site leadership and their staff
Coordinates the scheduling of work, vacations, etc. for direct reports and others to assure that patient care and office duties are completed to maintain an orderly and efficiently run office routine
Reviews and approves if assigned, ATS for verification of hours worked
Works collaboratively with providers and staff to implement improvements within the practice to ensure a high caliber of patient care and services
Contributes to developing and attaining long range objectives for the service including but not limited to financial goals, operations improvement, quality improvement, resource utilization and clinical practice enhancements

Fulltime

Sales Lead - White House Black Market

The Sales Lead is responsible for supporting Management in in promoting a custom...

Location

United States , Atlanta

Salary:

Not provided

Chico's FAS, Inc.

Expiration Date

Until further notice

Requirements

High school diploma or equivalent
1+ year retail or sales management experience preferred
Must be 18 years of age or older
Excellent communication, verbal and written skills
Excellent customer service skills
Able to learn or adapt to technology provided by the company
Knowledge of administrative aspects of store operations
Strong organizational skills and ability to multi-task in a fast-paced environment
Able to communicate with customers
Regular attendance is essential to this position in order to ensure adequate coverage to meet company objectives

Job Responsibility

Establishes and communicates clear expectations, holding store team and themselves accountable for achieving all brand, performance, and behavior standards
Performs and oversees basic operational activities such as opening and closing duties, and merchandise flow processes
Supervises associates engaged in sales, inventory receipt, reconciling cash receipts, or in performing services for customers
Utilizes weekly schedules to ensure proper floor coverage within fiscal guidelines
Maintains knowledge of current sales and promotions
presents and displays merchandise in accordance with current promotions and standards
Maintains standards in merchandise handling, presentation, loss prevention, and all other duties as directed by Management
Develops a high-performance culture, motivating sales team to meet assigned sales and productivity goals
meets personal sales goals
Trains and coaches to ensure selling team is fluent in all aspects of product knowledge on line and in store

Parttime

BPO Customer Care Associate

Customer Care Associate, providing customer care to Life Insurance policyholders...

Location

United States , Lincoln

Salary:

19.00 USD / Hour

NTT DATA

Expiration Date

Until further notice

Requirements

1 year experience (WAH) remote customer service
1 year experience working in an office setting, multitasking online with multiple Microsoft Windows PC applications
Minimum High school diploma or GED
Must Pass Drug screen
Must Pass a background check with Education check and employment verification check

Job Responsibility

Providing front-line phone customer care support to policyholders, beneficiaries, agents, and internal customers
Ensuring customer satisfaction (CSAT) and strive to meet service metrics
Developing and maintaining a solid working knowledge of the insurance industry and of all products, services and processes performed by the team
A typical day will likely involve fielding between 75 to 100 calls
Communicating effectively and professionally with both internal and external customers to resolve questions and issues
Collaborating with management or other team members as appropriate to proactively address service issues and concerns
Attention to detail, accuracy, and accountability for your work product

What we offer

medical insurance
dental insurance
vision insurance with employer contribution
flexible spending or health savings account
life and AD&D insurance
short- and long-term disability coverage
paid time off
employee assistance
participation in a 401k program with company match
additional voluntary or legally required benefits

Fulltime

Engineering Manager - Fintech

We’re looking for an Engineering Manager to lead one of our Fintech Platform tea...

Location

Salary:

Not provided

Mews

Expiration Date

Until further notice

Requirements

Experience leading backend or platform engineering teams on modern cloud architectures
Strong understanding of distributed systems (e.g. event-driven architecture, data consistency, idempotency)
Experience working on financial systems, payments, or other high-reliability domains where correctness is critical
Ability to challenge technical decisions and guide architecture without being hands-on daily
Clear communication and ability to work across technical and non-technical stakeholders
Curiosity and a strong drive to learn and improve
Proven impact beyond your own team, especially in cross-team or platform contexts

Job Responsibility

Lead a cross-functional team of 6–9 backend and platform engineers
Own the delivery and evolution of core financial systems such as ledger, reconciliation, and integrations with banks and external providers
Coach and mentor team members through regular 1:1s and feedback, with a focus on growing senior engineers
Define goals, priorities, and success metrics aligned with platform stability and long-term scalability
Work closely with Product, Design, and other Fintech teams (Acquiring, Payouts, Risk, Finance) to plan and deliver a shared roadmap
Ensure high standards of reliability, data consistency, and incident management across critical systems
Protect team focus and manage scope in a high-dependency environment
Contribute to hiring and long-term team growth

What we offer

Participation in our company share program
Best-in-class parental leave (6 months fully paid for primary caregivers, 2 months for secondary, available within your first year)
Unlimited paid holiday
Work from anywhere - enjoy the flexibility to work from other countries for a few weeks each year through our compliant and flexible Workation policy
Relocation options available after 1 year
Monthly EDGE time - dedicated to Explore, Develop, Grow, and Elevate yourself
Flexible, hybrid working options
One-off home office setup budget to make your workspace your own
Monthly working-from-home and healthcare allowances (where local healthcare benefits are not in available)

Fulltime

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Staff Data Scientist, Revenue

Job Description

Job Responsibility

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