Senior Data Scientist, Analytics (Product) Job at Airwallex (Singapore)

Senior Data Scientist – Audience Data Product

We are looking for a Senior Data Scientist – Audience Data Product to join our G...

Location

United States , Bethesda, MD

Salary:

52.06 - 82.45 USD / Hour

Marriott Bonvoy

Expiration Date

Until further notice

Requirements

4-year degree from an accredited university in Data Analytics, Computer Science, Engineering, Information Systems, or a similar quantitative discipline, with 4+ years of experience demonstrating progressive career growth and a history of exceptional performance in data science or analytics OR 2+ years of experience in data science or analytics with a Master's degree
Proven experience in building and optimizing audience segmentation and lookalike models for targeted advertising using data science techniques, including clustering, classification, and predictive modeling
Strong experience with writing AI/ML models in Python, Spark or SQL, and familiarity with cloud data warehouses (e.g., Snowflake, AWS) for data processing and model deployment
Demonstrated ability to use data science methodologies (e.g., machine learning, statistical modeling) to analyze and optimize large-scale datasets for audience targeting
Ability to collaborate cross-functionally with marketing, digital, and technology teams to align on broader data strategies and contribute insights to media optimization and performance measurement

Job Responsibility

Design and develop audience segmentation and various lookalike models to optimize targeting across owned & paid channels
Work with cross-functional teams to collect, analyze, and optimize media exposure data for continuous media optimization and audience measurement
Collaborate closely with teams from marketing, digital, and technology to evolve the media data ecosystem, leveraging advanced tools such as cloud data warehouses (Snowflake), data cleanrooms, and customer data platforms (CDPs)
Develop and implement segmentation and modeling strategies
Collaborate with marketing and analytics teams to design and build segmentation models and lookalike models for optimized targeting across paid media channels
Work with the AdTech and IT teams to ensure effective integration and deployment of data infrastructure that supports segmentation and audience activation efforts
Align segmentation models and tactics with the broader organizational data strategy to ensure consistency with long-term business goals and objectives
Collaborate closely with marketing and analytics teams to define key performance indicators (KPIs) and data requirements for optimizing segmentation strategies, improving campaign targeting, and driving ROI
Collaborate with technical teams and vendors (e.g., AWS, Snowflake) to build and enhance infrastructure that supports data-driven segmentation, model development, and performance measurement
Identify and work on improving processes that enhance data quality and reduce manual interventions in segmentation model development and activation workflows

What we offer

Coverage for medical, dental, vision, health care flexible spending account, dependent care flexible spending account, life insurance, disability insurance, accident insurance, adoption expense reimbursements, paid parental leave, 401(k) plan, stock purchase plan, discounts at Marriott properties, commuter benefits, employee assistance plan, and childcare discounts

Fulltime

Senior Manager, Product Analytics

As we scale, we’re investing deeply in data, experimentation, and analytics to i...

Location

United States , New York

Salary:

200000.00 - 230000.00 USD / Year

Clear

Expiration Date

Until further notice

Requirements

7+ years experience in product analytics, data science, business analytics, or related fields with 2+ years leading teams
Proven track record standing up or significantly scaling product analytics and experimentation capabilities in a tech or consumer product environment
Fluency in SQL, experiment design (statistical rigor, power analysis, etc.), attribution, funnel & cohort analysis, and metric design
Experience with leading decisions around third party experimentation tooling
Strong hands-on experience with product analytics tools (e.g. Heap, Amplitude, Mixpanel, etc.) and BI / dashboarding systems
Solid understanding of data infrastructure, ETL pipelines, event logging, data governance, and how to ensure data integrity
Exceptional communicator: you can translate complex analyses into clear, compelling narratives that drive decisions
Strategic but pragmatic: you know when to ship “good enough” and when to perfect
Bias for action, comfort with ambiguity, and willingness to get your hands dirty
Leadership presence, collaborative spirit, and the ability to influence across functions

Job Responsibility

Drive adoption of CLEAR’s front-end measurement and tracking framework: taxonomy, event definitions, data governance, instrumentation standards
Standardize the workflow around experimentation across our product surfaces
Build reliable analytics pipelines in collaboration with Data Engineering, ensuring data quality, consistency, and scalability
Define and socialize core metrics and KPIs across product lines and verticals
Deliver dashboards and analyses that distill complexity into clarity for product teams, leadership, and business stakeholders
Create frameworks for feature evaluation, long-term holdout analyses, funnel optimization, and user behavior deep dives
Empower teams via self-service tooling and documented analytics processes
Build learning loops: lead post-mortems, root-cause analyses, and knowledge sharing across the org
Build, lead, and grow a team of product analysts and data scientists
Mentor and elevate analyst capabilities

What we offer

Competitive compensation
Equity
Professional development support
Comprehensive healthcare plans
Family-building benefits (fertility and adoption/surrogacy support)
Flexible time off
Annual wellness stipend
Free OneMedical memberships for you and your dependents
A CLEAR Plus membership
401(k) retirement plan with employer match

Fulltime

Senior Data Scientist, Product Growth

Khan Academy is looking for a senior data scientist to play a critical role in o...

Location

United States , Mountain View

Salary:

137871.00 - 155105.00 USD / Year

Khan Academy

Expiration Date

Until further notice

Requirements

Motivated by the Khan Academy mission “to provide a free world-class education for anyone, anywhere.”
Proven cross-cultural competency skills demonstrating self-awareness, awareness of other, and the ability to adopt inclusive perspectives, attitudes, and behaviors to drive inclusion and belonging throughout the organization.
Background in applied math, statistics, economics, or a related technical field
5+ years of experience in data science or analytics
Proficient with statistical techniques (i.e., multiple regression, causal inference, AB testing, hypothesis testing) for real-world applications
Advanced SQL foundations & ability to manipulate data using R or Python
Compelling data storytelling and visualization (i.e. Looker) with the ability to communicate effectively with non-technical stakeholders
Strong business intuition & judgment, with a knack for asking the right questions to drive impact

Job Responsibility

Partner with product teams to understand and help develop theories of action which describe testable hypotheses for the impact of new features
Identify and measure success of initiatives through goal setting, forecasting, event instrumentation, monitoring, and ongoing analysis of core outcome metrics
Perform exploratory analyses on our rich datasets to extract insights about our teacher & learner behavior and guide our decisions around product roadmap and investments
Use your expertise with statistical techniques to quantify the impact of various features, programs, and interventions
Share results of analyses to non-technical audiences in ways that help them develop insights about our offerings
Contribute to the development of self-service analytics tools to enhance data access for the product team
work with our engineering teams to improve our tools and datasets

What we offer

Competitive salaries
Ample paid time off as needed
8 pre-scheduled Wellness Days in 2026 occurring on a Monday or a Friday for a 3-day weekend boost
Remote-first culture - that caters to your time zone, with open flexibility as needed, at times
Generous parental leave
An exceptional team that trusts you and gives you the freedom to do your best
The chance to put your talents towards a deeply meaningful mission and the opportunity to work on high-impact products that are already defining the future of education
Opportunities to connect through affinity, ally, and social groups
401(k) + 4% matching & comprehensive insurance, including medical, dental, vision, and life

Fulltime

Senior Data Scientist, Product

Join us in building the future of finance. Our mission is to democratize finance...

Location

United States , Menlo Park

Salary:

179000.00 - 210000.00 USD / Year

Robinhood

Expiration Date

Until further notice

Requirements

Proven expertise in data science, with a strong background in statistical analysis and machine learning
Outstanding problem-solving skills and the ability to think critically and creatively
Strong programming skills in Python & SQL, or other relevant languages
Experience with data visualization tools and techniques
Ability to successfully implement projects and compete in a fast-paced environment
PhD or master’s degree in a quantitative field such as mathematics, statistics, engineering or natural sciences and at least 6-10 years of experience developing and deploying predictive models

Job Responsibility

Perform deep-dive analyses to identify product growth opportunities and drive improvements in core business metrics
Design, plan, implement, and analyze A/B experiments, and conduct causal inference analysis to evaluate product changes
Define and maintain key product performance metrics
build scalable dashboards to monitor these metrics and advise decision-making
Build compelling data visualizations and narratives to effectively communicate insights and recommendations to multi-functional partners, collaborators, and senior leadership
Lead and implement large-scale analytics projects to uncover user insights, inform product strategy, and deliver measurable business impact
Partner closely with Product, Engineering, Operations, and other multi-functional teams to integrate data-driven decision-making into product and business processes
Assist with established methods, standard approaches, and promote a data-informed culture within the organization

What we offer

Performance driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching
100% paid health insurance for employees with 90% coverage for dependents
Lifestyle wallet - a highly flexible benefits spending account for wellness, learning, and more
Employer-paid life & disability insurance, fertility benefits, and mental health benefits
Time off to recharge including company holidays, paid time off, sick time, parental leave, and more
Exceptional office experience with catered meals, events, and comfortable workspaces

Fulltime