Senior Data Scientist, Analytics Job at Airwallex (San Francisco)

Senior Data Scientist, Analytics

We’re seeking a senior Data Scientist to partner closely with the Marketing team...

Location

United States , San Francisco

Salary:

160000.00 - 250000.00 USD / Year

Airwallex

Expiration Date

Until further notice

Requirements

6+ years industry experience and an advanced degree (PhD or MS) in a quantitative field (e.g. Statistics, Engineering, Sciences, Computer Science, Economics)
2+ years of experience in Marketing Analytics or a similar role
Experience in digital marketing channels, including email, paid ads, and SEO is highly advantageous
Experience with communicating the results of analyses to executives and cross-functional teams to influence strategy
Expert in data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R), experience in schema design and dimensional data modeling a plus

Job Responsibility

Analyze data to assess performance and ROI of Marketing initiatives
Develop dashboards and reports to provide observability, enabling stakeholders to make data-driven decisions
Be the subject matter expert for all Marketing KPIs, consulting on Marketing data related projects
Partner with Marketing stakeholders to objectively measure campaign performance, and to identify actionable insights
Develop data-driven Marketing forecasts and budgets to inform organizational-level planning
Collaborate with Marketing, Sales, and Product teams to identify opportunities for improvement in Marketing strategies and campaigns
Support experiments to measure impact of ad spend, brand campaigns, and other Marketing initiatives

What we offer

Offers Equity
Offers Bonus
medical, dental, and vision insurance
a 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 in a calendar year

Fulltime

Senior Data Scientist, Analytics

We’re seeking a senior Data Scientist to partner closely with the Marketing team...

Location

United States , San Francisco

Salary:

160000.00 - 250000.00 USD / Year

Airwallex

Expiration Date

Until further notice

Requirements

6+ years industry experience and an advanced degree (PhD or MS) in a quantitative field (e.g. Statistics, Engineering, Sciences, Computer Science, Economics)
2+ years of experience in Marketing Analytics or a similar role
Experience in digital marketing channels, including email, paid ads, and SEO is highly advantageous
Experience with communicating the results of analyses to executives and cross-functional teams to influence strategy
Expert in data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R), experience in schema design and dimensional data modeling a plus

Job Responsibility

Analyze data to assess performance and ROI of Marketing initiatives
Develop dashboards and reports to provide observability, enabling stakeholders to make data-driven decisions
Be the subject matter expert for all Marketing KPIs, consulting on Marketing data related projects
Partner with Marketing stakeholders to objectively measure campaign performance, and to identify actionable insights
Develop data-driven Marketing forecasts and budgets to inform organizational-level planning
Collaborate with Marketing, Sales, and Product teams to identify opportunities for improvement in Marketing strategies and campaigns
Support experiments to measure impact of ad spend, brand campaigns, and other Marketing initiatives

What we offer

Offers Equity
Offers Bonus
medical, dental, and vision insurance
a 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

Senior Data Scientist, Analytics

We’re seeking a senior Data Scientist to partner closely with the Marketing team...

Location

United States , San Francisco

Salary:

160000.00 - 250000.00 USD / Year

Airwallex

Expiration Date

Until further notice

Requirements

6+ years industry experience
Advanced degree (PhD or MS) in a quantitative field (e.g. Statistics, Engineering, Sciences, Computer Science, Economics)
2+ years of experience in Marketing Analytics or a similar role
Experience in digital marketing channels, including email, paid ads, and SEO is highly advantageous
Experience with communicating the results of analyses to executives and cross-functional teams to influence strategy
Expert in data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R)
Experience in schema design and dimensional data modeling a plus

Job Responsibility

Analyze data to assess performance and ROI of Marketing initiatives
Develop dashboards and reports to provide observability, enabling stakeholders to make data-driven decisions
Be the subject matter expert for all Marketing KPIs, consulting on Marketing data related projects
Partner with Marketing stakeholders to objectively measure campaign performance, and to identify actionable insights
Develop data-driven Marketing forecasts and budgets to inform organizational-level planning
Collaborate with Marketing, Sales, and Product teams to identify opportunities for improvement in Marketing strategies and campaigns
Support experiments to measure impact of ad spend, brand campaigns, and other Marketing 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

Data Scientist / Senior Data Scientist

Berkshire Hathaway Specialty Insurance (BHSI) has an exciting opportunity for Da...

Location

United States , Boston, MA/San Ramon, CA

Salary:

100000.00 - 160000.00 USD / Year

Berkshire Hathaway Specialty Insurance

Expiration Date

Until further notice

Requirements

Advanced degree (Master’s or Ph.D.) in Statistics, Actuarial Science, Applied Mathematics, Data Science, Engineering, or other equivalent quantitative discipline
Strong academic foundation in probability theory, statistical inference, stochastic processes, and Bayesian statistics
Deep expertise in probability models commonly used in insurance (e.g., frequency–severity models, GLMs, loss distributions)
Strong applied statistics skills for: Risk modeling
Predictive analytics
Pricing & underwriting analytics
Catastrophe exposure analysis
Proficiency in statistical and machine learning techniques, including: Regression (GLM, GAM, GAMMs)
Time-series forecasting
Gradient boosting, random forests, and other tree-based models, neural networks models

Job Responsibility

Evaluate and develop insights into large and diverse data sets from claims, hazard models, structural analysis, geospatial sources, and various other public/proprietary datasets
Develop and maintain expertise in advanced data science, machine learning, and artificial intelligence techniques, and their application to understanding risk
Work with domain experts across teams and perils to enhance our use of available data
Propose and execute innovative solutions to insurance problems that directly impact BHSI underwriting decisions
Conduct in-depth evaluation of vendor models, research and develop internal views of exposure and risks, consult on account-specific risk analyses, and develop internal tools to facilitate account underwriting decision-making and other related activities

What we offer

Comprehensive Health, Dental and Vision benefits
Disability Insurance (both short-term and long-term)
Life Insurance (for you and your family)
Accidental Death & Dismemberment Insurance (for you and your family)
Flexible Spending Accounts
Health Reimbursement Account
Employee Assistance Program
Retirement Savings 401(k) Plan with Company Match
Generous holiday and Paid Time Off
Tuition Reimbursement

Fulltime

Data Scientist / Senior Data Scientist

Berkshire Hathaway Specialty Insurance (BHSI) has an exciting opportunity for Da...

Location

United States , Atlanta, GA/Boston, MA/San Ramon, CA

Salary:

100000.00 - 160000.00 USD / Year

Berkshire Hathaway Specialty Insurance

Expiration Date

Until further notice

Requirements

Ph.D. or M.S. in data science, civil engineering, atmospheric science, actuarial science, computer science, mathematics, or a related field
3-6 years of industry experience is preferred and required for the Senior Data Scientist level role
Advanced knowledge of probability theory, statistics, and machine learning methods is required
Practical experience in insurance, catastrophe model development, cyber and casualty risk modeling, and/or exposure data collection is preferred
Experience applying advanced statistical techniques and machine learning to large data sets, especially in areas of structural performance, natural catastrophe hazard, building exposure data, geospatial data, or insurance claims data
Familiarity with large language models (LLMs), retrieval-augmented generation (RAG), and their application in data-driven workflows is a plus
Strong written and verbal communication skills
Strong programming skills in Python (preferred), R, and SQL
Experience and understanding of relational and non-relational databases preferred
Comfort working within git-based version-control environments

Job Responsibility

Evaluate and develop insights into large and diverse data sets from claims, hazard models, structural analysis, geospatial sources, and various other public/proprietary datasets
Develop and maintain expertise in advanced data science, machine learning, and artificial intelligence techniques, and their application to understanding risk
Work with domain experts across teams and perils to enhance our use of available data
Propose and execute innovative solutions to insurance problems that directly impact BHSI underwriting decisions

What we offer

Comprehensive Health, Dental and Vision benefits
Disability Insurance (both short-term and long-term)
Life Insurance (for you and your family)
Accidental Death & Dismemberment Insurance (for you and your family)
Flexible Spending Accounts
Health Reimbursement Account
Employee Assistance Program
Retirement Savings 401(k) Plan with Company Match
Generous holiday and Paid Time Off
Tuition Reimbursement

Fulltime

Senior Data Analytics & Scientist - Officer

The Business Analytics Int Analyst is a developing professional role. Deals with...

Location

Mexico , Ciudad De Mexico

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

2-5 years relevant experience
Advanced process management skills, organized and detail oriented
Curious about learning and developing new skillsets
Positive outlook with a can-do mindset
Bachelors/University degree or equivalent experience

Job Responsibility

Gathers operational data from various cross functional stakeholders to examine past business performance
Identifies data patterns & trends, and provides insights to enhance business decision making capability in business planning, process improvement, solution assessment etc.
Recommends actions for future developments & strategic business opportunities, as well as enhancements to operational policies
May be involved in exploratory data analysis, confirmatory data analysis and/or qualitative analysis
Translate data into consumer or customer behavioral insights to drive targeting and segmentation strategies, and communicate clearly and effectively to business partners and senior leaders all findings
Continuously improve processes and strategies by exploring and evaluating new data sources, tools, and capabilities
Work closely with internal and external business partners in building, implementing, tracking and improving decision strategies
Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency

Fulltime

Senior Data Scientist, Analytics (Product)

As a global team, we span across Australia, China, USA, and Singapore, revolutio...

Location

Singapore , Singapore

Salary:

Not provided

Airwallex

Expiration Date

Until further notice

Requirements

Minimum 5 years of industry experience
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

Senior Data Scientist, Analytics (Risk & Fraud)

Airwallex is building a centralised risk platform that will harness advanced ana...

Location

China , Shanghai

Salary:

Not provided

Airwallex

Expiration Date

Until further notice

Requirements

Bachelor's degree in Mathematics, Statistics, Operations Research, Finance, Economics or related quantitative discipline
5+ years proven risk management experience or equivalent, including analytics, modeling implementation, and stakeholder management
5+ years of hands-on experience extracting and manipulating large data with SQL, experience with scripting in Python, Shell or R
Experience building visualizations using large datasets and multiple data sources using Looker or Tableau

Job Responsibility

Craft and refine risk strategies which include defining risk controls, the customer experience and operational workflows with emphasis on minimizing the impact on customers, our brand and organizational critical metrics
Use data driven insights to seize opportunity, measure performance and to determine what is working and what is not working
Monitor performance of existing & new solutions and optimize to ensure desired results
Communicate concise and actionable business strategies and present new strategy recommendations to senior management for approval
Collaborate with partners in Platform, Operations and other internal teams, as well as external partners like data vendors to formulate and execute fraud risk solutions

Fulltime

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Senior Data Scientist, Analytics

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