Staff Data Scientist, Analytics (Payments) Job at Airwallex (Singapore)

Staff Data Scientist, Growth

We are seeking a sales-oriented Staff Data Scientist – think Sales Engineer, but...

Location

United States , Seattle; New York City; Boston

Salary:

160000.00 - 200000.00 USD / Year

Pearl Health

Expiration Date

Until further notice

Requirements

8+ years of experience in performing results-driven quantitative analysis in a healthcare management or professional consulting environment
A degree in statistics, applied math, computer science, engineering or a related field (e.g., healthcare policy) is strongly preferred
SQL expertise and strong foundation in at least one of the main data science programming languages (Python, R, Julia, Scala, Matlab)
Python is our current primary language and is preferred
Eloquent communicator who can communicate deep technical nuance to internal teams while up-leveling understanding for lay audiences
Relish synthesizing the complexity of the healthcare/financial ecosystem into actionable insights that provide value to providers
A proven mentor who fosters a culture of technical rigor and mentors more junior team members
A proven ability to apply research and analytic models to inform growth operations, with a high 'hit rate' that indicates accurate intuition for promising nascent research

Job Responsibility

Engaging with sales leads as a 'human explicability layer,' up-leveling understanding for non-technical audiences to ensure that complex underwriting results are communicated clearly to drive sales
While you will have direct contact with prospects, you will also identify opportunities to automate explicability through robust technical systems
Crucially, you will use points of friction or resonance observed in the field to inspire the roadmap for our core ML team, ensuring our models and features evolve in direct response to market needs and stakeholder feedback
Leading complex and dynamic collaborations between the Data Science and Growth teams
This requires not just organizing resources, but proactively identifying and mitigating risks to ensure SLAs are met or exceeded
Helping us refine the competitiveness of our value-based care contracts
You will anticipate stakeholder needs and provide strategic guidance on which aspects of our sales offerings are compelling, proactively proposing new work based on these business insights
Ensuring quality and availability of various data sources
You will set standards for code quality and reproducibility regarding lead information, sales touchpoints, and financial analyses
Leveraging a deep understanding of ML concepts (e.g., using SHAP or feature importance but also less formal quantitative instinct) to consult on the application of payment models

What we offer

We offer a competitive benefits package
This role is eligible for a discretionary performance bonus and equity options

Fulltime

Staff Data Scientist - Financial Platform

We are looking for an experienced Data scientist to join Block’s AI, Data, and A...

Location

United States , Bay Area

Salary:

239600.00 - 359400.00 USD / Year

Cash App

Expiration Date

Until further notice

Requirements

12+ years of related experience (data science, preferably in payment analytics, chargebacks, or related fields) with Bachelor's degree
or 8 years and a Master’s degree
or a PhD with 5 years experience
or equivalent experience
At least a bachelor's degree in a technical field such as Engineering, Physics, mathematics, computer science, etc.
Experience working on ambiguous problems with high business impact and resolving complex issues in innovative and efficient ways
Expertise in hypothesis testing and causal inference
A strong understanding and willingness to be hands-on in building data pipelines and architecture
Ability to build strong relationships with cross-functional stakeholders, clearly communicating findings and influencing product designs
Advanced proficiency with data, analytics, and visualization technologies (we use SQL, Looker, and Python)

Job Responsibility

Establish subject-matter expertise in payment rails, focusing on cards (pre-paid, debit, credit, etc.) and bank rails (wire, ACH, direct deposit, etc.)
Influence product roadmaps and guide the Financial Operations (FinOps) team to navigate through product opportunities and problem ambiguities
Build “soup to nuts” data products, taking raw eventing data from engineering teams and turning into actionable analyses and ML models
Partner with Engineering and Operations leadership to drive a culture of data-driven financial impact
Expand your influence in the Block Data Science community by developing and evangelizing data solutions to improve analytics insightfulness and actionability

What we offer

Remote work
medical insurance
flexible time off
retirement savings plans
modern family planning

Fulltime

New

Staff Platform Manager, Chargebacks and Disputes

The Community You Will Join: Airbnb's Payments organization is central to the tr...

Location

United States

Salary:

Not provided

Airbnb

Expiration Date

Until further notice

Requirements

10+ years building payments, Payments Risk or risk related products in a product management role within global technology or financial services companies
Prior experience working with Payments Risk including Dispute lifecycle management. (Fintech experience strongly preferred)
A subject matter expert on payments risk with proven track record of launching and scaling detection, fraud prevention and dispute resolution products that balance customer experience
Experience leading complex projects, leveraging ML , operations, and signals from external vendors
Technical chops with experience as an engineer, data scientist, analyst, or operations
Experience integrating Gen AI as solution and delivering business value
Thrives in a startup environment: loves dealing with fast pace, changing needs, and limited resources.

Job Responsibility

Own and evolve the product roadmap for dispute lifecycle management spanning chargeback ingestion, representment decisioning, and pre-arbitration
Partner with Engineering, Data Science, Analytics and operations to sharpen dispute decisioning models, build product improvements and optimizations by processor, reason code, and product vertical, and translate those insights into concrete roadmap bets that improve win rate and reduce losses
Drive the design and rollout of proactive dispute prevention capabilities including on-trip signal detection and early guest outreach working cross-functionally with Customer Support, Trust, and Operations to resolve guest issues before they escalate to a chargeback
Build scalable disputes infrastructure for new payment methods and product verticals and defining evidence frameworks as Airbnb scales
Collaborate with the Enforcements and Transaction Risk team to design and implement first party misuse detection and enforcement programs that deter repeat dispute abuse, balancing recovery goals with guest experience and marketplace integrity.

What we offer

bonus
equity
benefits
Employee Travel Credits

Fulltime

Applied Artificial Intelligence Scientist III

The Applied Artificial Intelligence (AI) Scientist III is a subject matter exper...

Location

United States , Los Angeles

Salary:

135136.00 - 216218.00 USD / Year

L.A. Care Health Plan

Expiration Date

Until further notice

Requirements

Master's Degree
At least 6 years of professional experience developing and deploying machine learning and AI solutions in enterprise or healthcare environments
Demonstrated experience leading full AI solution lifecycles – from problem definition to deployment and monitoring
Proven successful experience developing predictive models using structured and unstructured healthcare data (e.g., claims, encounters, eligibility, provider, quality metrics)
Experience with Python (Pandas, Scikit-learn, PySpark), distributed data frameworks (Spark), and MLOps concepts
Strong collaboration and mentorship experience, including guiding junior data scientists and analysts
Experience integrating AI solutions into production environments in collaboration with IT or Data Engineering
Experience with version control (Git) and model documentation best practices
Experience building and deploying models in production using MLOps frameworks and cloud platforms
Advanced programming skills in Python, including libraries for data processing, modeling, and analytics (e.g., Pandas, Scikit-learn, PySpark)

Job Responsibility

Design, train, validate, and deploy complex AI and ML models to address enterprise use cases across departments such as Health Services, Payment Integrity, Quality Improvement, Finance, and Provider Network Management
Lead all phases of the AI solution lifecycle – from problem framing and data engineering through model design, validation, and operational integration
Implement production-grade ML pipelines using modern MLOps practices, ensuring scalability, reproducibility, and continuous model performance monitoring
Serve as a subject matter expert in responsible and explainable AI, ensuring model fairness, transparency, and compliance with regulatory and ethical standards
Partner with business and technology leaders to identify and prioritize new AI use cases that align with the organization’s transformation strategy
Translate business challenges into well-structured analytical problems and lead cross-functional teams through data discovery, feature engineering, and algorithm development
Work directly with cloud-based data and AI platforms (e.g., Snowflake, Azure ML, Databricks) to operationalize model delivery and integration with enterprise data assets
Mentor and coach staff, providing technical guidance, code reviews, and knowledge sharing
Document all model design assumptions, data sources, evaluation metrics, and deployment protocols for transparency and reproducibility
Communicate complex technical results in accessible, actionable ways for both executive and operational stakeholders

What we offer

Paid Time Off (PTO)
Tuition Reimbursement
Retirement Plans
Medical, Dental and Vision
Wellness Program
Volunteer Time Off (VTO)

Fulltime

Staff Engineer - Payment Platform

At GEICO, we’re redefining insurance through innovative technology, delivering t...

Location

United States , Palo Alto

Salary:

110000.00 - 230000.00 USD / Year

Geico

Expiration Date

Until further notice

Requirements

Fluency and Specialization with at least two modern languages such as Java, C++, Python or C# including object-oriented design
Fluency in DevOps Concepts, Cloud Architecture, and Azure DevOps Operational Framework
6+ years of experience designing complex systems, data pipelines, and architectures, with expertise in scaling, performance tuning, and containerization (Docker, Kubernetes)
Deep expertise in SQL & open-source databases (MySQL, PostgreSQL) and NoSQL databases (MongoDB, Cassandra, Elasticsearch, etc.) for transaction and analytics use cases
10+ years in software development, platform architecture, or infrastructure management, ideally with payment or fintech systems
4+ years working with open-source frameworks
3+ years in system architecture and design, preferably for payment or data platforms
Bachelor's degree in computer science, Information Systems, or equivalent work experience

Job Responsibility

Lead Payment Platform Innovation: Architect and build scalable, secure payment systems, integrating real-time fraud detection, tokenization, and batch processing capabilities
Harness Data for Impact: Design data pipelines and analytics frameworks to monitor transaction health, detect fraud patterns, and optimize payment performance
Drive Strategy: Partner with product managers, data scientists, and engineers to define and execute a technical roadmap for payment modernization and analytics
Ensure Reliability: Own the performance, security, and usability of payment platforms, ensuring 99.9% uptime and compliance with industry standards
Mentor & Inspire: Coach engineers, share best practices, and influence stakeholders to elevate payment and data engineering expertise
Support Operations: Provide on-call support for payment systems, troubleshoot issues, and champion CI/CD and Infrastructure-as-Code practices

What we offer

Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family’s overall well-being
Financial benefits including market-competitive compensation
a 401K savings plan vested from day one that offers a 6% match
performance and recognition-based incentives
and tuition assistance
Access to additional benefits like mental healthcare as well as fertility and adoption assistance
Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year

Fulltime

Banquet Service Agent

Prepare coffee breaks, carts, and stations with appropriate food and beverages a...

Location

Japan , Osaka

Salary:

Not provided

Marriott Bonvoy

Expiration Date

Until further notice

Requirements

High school diploma or G.E.D. equivalent
Less than 1 year related work experience
No supervisory experience
None

Job Responsibility

Prepare coffee breaks, carts, and stations with appropriate food and beverages
Prepare tables, action stations, buffets, service carts, dessert table/carts and cordial carts
Communicate additional meal requirements, allergies, dietary needs, and special requests to the kitchen
Ensure courses are cleared and tables are properly crumbed
Respond to and try to fulfill any special banquet event arrangements
Replenish buffet items to ensure consistency and freshness in presentation
Monitor tableware to ensure it is presentable to guests
Monitor and maintain cleanliness, sanitation, and organization of assigned station and service areas
Bus tables by removing and separating tableware, plateware, glassware, and flatware
Follow all company and safety and security policies and procedures

Fulltime

Test Engineer

The Opportunity We are currently partnering with several leading engineering fi...

Location

United Kingdom

Salary:

Not provided

Myn

Expiration Date

Until further notice

Requirements

Proven experience in testing or commissioning within LV switchgear, electrical engineering, or control systems
Strong understanding of electrical systems, schematics, and technical drawings
Solid knowledge of relevant electrical standards, specifically BS EN 61439 and BS7671
Demonstrable experience in developing and executing test plans, test cases, and test scripts
Strong troubleshooting and root-cause analysis skills for electrical system failures
Proficiency in documenting test results, non-conformances, and technical observations
Excellent written and verbal communication skills for cross-functional collaboration
Full UK driving licence

Job Responsibility

End-to-end testing and commissioning of low-voltage (LV) switchgear and control systems
Ensuring every product meets rigorous quality and safety standards
Involvement throughout product lifecycle from initial test planning to final verification
Working closely with design and production teams to troubleshoot issues, document findings, and support Factory Acceptance Tests (FATs)

Senior Validation Engineer

The Opportunity \nWe are currently partnering with multiple clients across the l...

Location

United Kingdom

Salary:

Not provided

Myn

Expiration Date

Until further notice

Requirements

gmp/gxp experience
iq/oq/pq validation
csv experience
tmv experience
risk assessment
technical leadership
life sciences industry
data integrity
technical documentation

Job Responsibility

Oversee and execute comprehensive validation strategies
Ensure all systems and processes strictly adhere to stringent regulatory standards
Lead the full validation lifecycle including IQ, OQ, PQ, CSV, and TMV
Collaborate cross-functionally to manage change control, audit readiness, and continuous improvement initiatives
Act as a technical authority
Provide mentorship to junior engineers
Ensure validation practices remain robust and compliant with global standards

Fulltime

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Staff Data Scientist, Analytics (Payments)

Job Description

Job Responsibility

Requirements

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