Staff Data Scientist, Analytics Job at Airwallex (Singapore)

Staff Data Scientist, Analytics (Product)

You will collaborate with a diverse range of cross-functional partners, includin...

Location

Singapore , Singapore

Salary:

Not provided

Airwallex

Expiration Date

Until further notice

Requirements

Minimum 6 years of industry experience and a degree in a quantitative field
Experience with communicating the results of analyses to executives and cross-functional teams to influence the strategy
Expert in data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R)
Ability to perform statistical analysis to drive data-informed decisions

Job Responsibility

Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations
Work with large and complex data sets to solve a wide array of business problems using different analytical and statistical approaches
Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products
Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends
Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions

Fulltime

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, Analytics (Payments)

Airwallex is the only unified payments and financial platform for global busines...

Location

Singapore , Singapore

Salary:

Not provided

Airwallex

Expiration Date

Until further notice

Requirements

7+ years industry experience
Degree in a quantitative field (e.g. Statistics, Engineering, Sciences, Computer Science, Economics)
Proven experience in experimentation and causal inference to drive data-informed product decisions
Excellent communication and interpersonal skills
Strong skills in SQL and Python/R
Experience in technology, financial services and/or a high growth environment is advantageous

Job Responsibility

Design and implement rigorous frontend experiments to improve the payment product experience and payment success rates
Identify and quantify opportunities to improve and grow the payments product, and drive roadmaps with those insights
Translate open-ended business problems into clearly defined data science initiatives
Build scalable measurement frameworks and strategic north star metrics to enable consistent, data-driven decision-making across teams
Communicate data insights and recommendations to technical and non-technical audiences
Mentor and coach junior data scientists
Act as the single-threaded technical owner on cross-functional initiatives

Fulltime

Staff Data Scientist, Commercial Analytics

About the Position 10x Genomics sells high-complexity capital equipment and cons...

Location

United States , Pleasanton

Salary:

198500.00 - 268500.00 USD / Year

10x Genomics

Expiration Date

Until further notice

Requirements

Master’s degree in a quantitative discipline such as Statistics, Engineering, Mathematics, Computer Science, Data Science, or an MBA with a technical focus
7+ years of experience using analytics to solve complex business problems, including coding (Python or R), querying databases (SQL), and statistical analysis
Production ML Experience: Proven track record of deploying machine learning models into production environments to solve commercial or operational challenges
Technical Mastery: Expert-level proficiency in writing complex, efficient SQL and using Python/R for data manipulation and predictive modeling
Commercial Acumen: Profound experience with sales processes and tools, specifically Salesforce CRM, sales quota/territory assignment, and the B2B enterprise SaaS demand generation funnel
Data Visualization: Advanced knowledge of data visualization tools like Tableau or Power BI to synthesize data into actionable executive dashboards
Stakeholder Management: Exceptional communication and interpersonal skills, with the ability to lead through ambiguity and influence cross-functional teams

Job Responsibility

Rebuild our sales forecasting model from a rules-based spreadsheet system to a production ML pipeline
Redesign our territory performance framework to better account for market heterogeneity across academic vs. pharma accounts
Develop early-warning signal models that surface churn risk, stalled accounts, and expansion opportunities before they become visible to the field
Own end-to-end development of ML-based sales forecasting models from feature engineering in Snowflake to deployment and monitoring in our AWS environment
Build pipeline health and churn risk models that give our VP of Sales a forward-looking view
Define model evaluation frameworks and own ongoing performance monitoring
Design specific performance frameworks for distributor-led markets (APAC/EMEA)
Conduct deep-dive analyses on quota attainment, territory performance, and account penetration
Conduct deep customer analyses that map account health, buying patterns, and product adoption across segments
Act as the commercial 'voice of the data' to our Product and Software Engineering teams

What we offer

equity grants
comprehensive health and retirement benefit programs
annual bonus program or sales incentive program
Health Package
Easy-to-use Benefits
Family oriented
Generous Time Off
Award-Winning Workplace

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 Data Scientist, Growth Analytics

We’re hiring an experienced Staff Data Scientist to be the technical lead for ou...

Location

United States , San Francisco

Salary:

180000.00 - 300000.00 USD / Year

Airwallex

Expiration Date

Until further notice

Requirements

7+ years industry experience
Degree in a quantitative field (e.g. Statistics, Engineering, Sciences, Computer Science, Economics)
Advanced degree (PhD or MS) preferred
Proven experience mentoring or leading data science or data analytics teams
Excellent communication and interpersonal skills
Proven ability to influence strategy in high-growth environments
Demonstrated experience applying data science to drive growth initiatives with concrete impact
Strong skills in SQL and Python/R
Experience with data modeling a plus
Experience in technology, financial services and/or a high growth environment is advantageous

Job Responsibility

Operate as the technical partner to Growth, Marketing, Sales and Data Science leaders to define and implement Airwallex’s growth strategy
Lead and mentor the team in applying a variety of data science techniques—root-cause analysis, statistical modeling, and experimentation—to identify opportunities and drive product-led growth (acquisition, activation, retention, reactivation)
Establish insight-driven approaches to address key business problems and drive business impact
Build scalable measurement frameworks that enable consistent, data-driven decision-making across teams and inform growth strategy
Clearly and persuasively communicate data insights and recommendations to technical and non-technical audiences, ensuring findings influence stakeholders
Translate open-ended business problems into clearly defined data science initiatives for the team to implement
Mentor and coach junior data scientists, and act as the single-threaded technical owner on cross-functional initiatives

What we offer

Offers Equity
Offers Bonus
Medical, dental, and vision insurance
401(k) plan
Short-term and long-term disability
Basic life insurance
Well-being benefits
20 paid days of vacation
12 paid days of company holidays

Fulltime

Member Of Technical Staff (Data Scientist)

Perplexity is AI for people who expect more. This role brings that same standard...

Location

United States , San Francisco

Salary:

175000.00 - 330000.00 USD / Year

Perplexity

Expiration Date

Until further notice

Requirements

6-8+ years in data science, analytics engineering, or a related role
Strong product sense
Deep SQL expertise
Pipeline experience
Enough software engineering chops to be dangerous
Genuinely excited about AI
Builder mentality
Autonomy

Job Responsibility

Accelerate the AI-native data workflow
Build AI agents that do data science
Make the warehouse AI-readable
Automate the data lifecycle
Ship AI-powered experiment analysis
Own the full lifecycle
Turn the data team into a product team

What we offer

Equity
Health
Dental
Vision
Retirement
Fitness
Commuter and dependent care accounts

Fulltime

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Staff Data Scientist, Analytics

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