Staff Data Scientist, Growth Analytics Job at Airwallex (San Francisco)

Staff Data Scientist

We’re looking for a Staff Data Scientist to shape the future of our marketplace ...

Location

Spain , Barcelona

Salary:

Not provided

Heetch

Expiration Date

Until further notice

Requirements

Deep understanding of statistics, experimentation, and causal inference, and know how to apply them pragmatically
Fluent in Python, SQL, and modern data/ML tooling
Experience bringing ML models into production and measuring their long-term business impact
Skilled at translating complex technical findings into actionable business insights
Collaborative leader who mentors peers and sets high standards for analytical rigor and impact
7+ years of experience in data science, ideally with 2–3 years in a Staff-level or tech-lead capacity

Job Responsibility

Lead data science initiatives with company-wide impact — from experimentation frameworks to ML systems and causal inference methods
Define best practices and standards for experimentation, modelling, and analytical excellence across teams
Partner with Product and Engineering leadership to identify and prioritise high-leverage opportunities
Develop and deploy scalable models and data products that drive measurable business outcomes
Mentor and coach other data scientists and analysts, helping them deliver higher-impact work
Communicate insights and recommendations to senior leadership, influencing product and growth strategy
Contribute to Heetch’s data platform evolution, ensuring data quality, reliability, and efficiency at scale

Fulltime

Staff Data Scientist, Growth

Build innovative, data-driven products that enhance patient engagement and reten...

Location

United States

Salary:

220000.00 - 260000.00 USD / Year

Pomelo Care

Expiration Date

Until further notice

Requirements

6+ years professional experience in data science, product analytics, or data engineering
2+ years professional experience working in healthcare, consumer health, or high-touch consumer products
Expert proficiency in both SQL and Python, with demonstrated ability to work across the full data stack
Strong product sense with experience in product prototyping, A/B testing, and user behavior analysis
Passionate about improving maternal health outcomes and creating exceptional patient experiences
Proven track record of scoping and implementing data-driven product solutions to complex, ambiguous problems
Comfortable leading cross-functional initiatives with Product, Engineering, and Clinical teams as a strategic partner and technical expert
A strong communicator and a keen nose for value - someone who can easily and quickly understand the needs of different audiences
Experience with data visualization and dashboarding tools (e.g., Looker, Tableau, Metabase)
Experience working with modern data stack tools (e.g., dbt, Airflow, Snowflake)

Job Responsibility

Become an expert in patient behavior, engagement patterns, and retention drivers, owning the team’s data science roadmap and playing a foundational role in shaping Pomelo's patient experience strategy
Collaborate deeply with the Marketing team to build and optimize a multi-channel enrollment strategy
Build attribution models, analyze funnel conversion rates, and identify the best ways to allocate resources towards patient enrollment
Define and iterate on key metrics that define the health of the business, such as enrollment and retention rates, and present insights to Pomelo’s leadership team
Complete exploratory analyses to inform development of enrollment and engagement-focused features, such as conversation topic categorization and patient journey segmentations
Build robust data pipelines and analytics infrastructure that connect external, marketing and product usage data, creating a unified view of the patient journey
Lead the team’s approach to A/B testing across marketing and product initiatives to accurately measure impact
Collaborate closely with Product, Clinical, and Engineering teams to translate patient insights into actionable product improvements and new feature development

What we offer

Competitive healthcare benefits
Generous equity compensation
Unlimited vacation

Fulltime

Staff Data Scientist, Growth

Your North Star: Build innovative, data-driven products that enhance patient eng...

Location

United States , New York City

Salary:

220000.00 - 260000.00 USD / Year

Pomelo Care

Expiration Date

Until further notice

Requirements

6+ years professional experience in data science, product analytics, or data engineering
2+ years professional experience working in healthcare, consumer health, or high-touch consumer products
Expert proficiency in both SQL and Python, with demonstrated ability to work across the full data stack
Strong product sense with experience in product prototyping, A/B testing, and user behavior analysis
Passionate about improving maternal health outcomes and creating exceptional patient experiences
Proven track record of scoping and implementing data-driven product solutions to complex, ambiguous problems
Comfortable leading cross-functional initiatives with Product, Engineering, and Clinical teams as a strategic partner and technical expert
A strong communicator and a keen nose for value - someone who can easily and quickly understand the needs of different audiences
Experience with data visualization and dashboarding tools (e.g., Looker, Tableau, Metabase)
Experience working with modern data stack tools (e.g., dbt, Airflow, Snowflake)

Job Responsibility

Become an expert in patient behavior, engagement patterns, and retention drivers, owning the team’s data science roadmap and playing a foundational role in shaping Pomelo's patient experience strategy
Collaborate deeply with the Marketing team to build and optimize a multi-channel enrollment strategy. You will build attribution models, analyze funnel conversion rates, and identify the best ways to allocate resources towards patient enrollment
Define and iterate on key metrics that define the health of the business, such as enrollment and retention rates, and present insights to Pomelo’s leadership team
Complete exploratory analyses to inform development of enrollment and engagement-focused features, such as conversation topic categorization and patient journey segmentations
Build robust data pipelines and analytics infrastructure that connect external, marketing and product usage data, creating a unified view of the patient journey
Lead the team’s approach to A/B testing across marketing and product initiatives to accurately measure impact
Collaborate closely with Product, Clinical, and Engineering teams to translate patient insights into actionable product improvements and new feature development

What we offer

Competitive healthcare benefits
Generous equity compensation
Unlimited vacation

Fulltime

Staff Data Scientist, Growth

Build innovative, data-driven products that enhance patient engagement and reten...

Location

United States , San Francisco

Salary:

220000.00 - 260000.00 USD / Year

Pomelo Care

Expiration Date

Until further notice

Requirements

6+ years professional experience in data science, product analytics, or data engineering
2+ years professional experience working in healthcare, consumer health, or high-touch consumer products
Expert proficiency in both SQL and Python, with demonstrated ability to work across the full data stack
Strong product sense with experience in product prototyping, A/B testing, and user behavior analysis
Passionate about improving maternal health outcomes and creating exceptional patient experiences
Proven track record of scoping and implementing data-driven product solutions to complex, ambiguous problems
Comfortable leading cross-functional initiatives with Product, Engineering, and Clinical teams as a strategic partner and technical expert
A strong communicator and a keen nose for value - someone who can easily and quickly understand the needs of different audiences
Experience with data visualization and dashboarding tools (e.g., Looker, Tableau, Metabase)
Experience working with modern data stack tools (e.g., dbt, Airflow, Snowflake)

Job Responsibility

Become an expert in patient behavior, engagement patterns, and retention drivers, owning the team’s data science roadmap and playing a foundational role in shaping Pomelo's patient experience strategy
Collaborate deeply with the Marketing team to build and optimize a multi-channel enrollment strategy. You will build attribution models, analyze funnel conversion rates, and identify the best ways to allocate resources towards patient enrollment
Define and iterate on key metrics that define the health of the business, such as enrollment and retention rates, and present insights to Pomelo’s leadership team
Complete exploratory analyses to inform development of enrollment and engagement-focused features, such as conversation topic categorization and patient journey segmentations
Build robust data pipelines and analytics infrastructure that connect external, marketing and product usage data, creating a unified view of the patient journey
Lead the team’s approach to A/B testing across marketing and product initiatives to accurately measure impact
Collaborate closely with Product, Clinical, and Engineering teams to translate patient insights into actionable product improvements and new feature development

What we offer

Competitive healthcare benefits
Generous equity compensation
Unlimited vacation

New

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

New

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

New

Engineer III - Software Engineering

Location

India , Pune

Salary:

Not provided

Cencora

Expiration Date

April 10, 2026

Requirements

Bachelor's degree or related experience and 8+ years of development experience
5+ years of professional experience in designing, developing, and maintaining Java applications, with a strong understanding of core Java concepts, data structures, and algorithms
3+ years of React or Angular, Typescript, JavaScript, Node.js, HTML 5, CSS, and Bootstrap preferred
Proven experience in designing, developing, and deploying scalable and resilient microservices-based applications
In-depth knowledge and hands-on experience with either Spring Boot or Quarkus for building enterprise-level, cloud-native Java applications and RESTful APIs
Solid understanding of RESTful API design principles and experience in building and consuming RESTful web services
Experience working with SQL (e.g.,MySQL, Oracle) databases, including data modeling and query optimization
Proficiency with Git for version control and experience with CI/CD pipelines and tools (e.g., Jenkins, Azure Repos, Azure Pipelines)
Strong understanding of software testing principles and experience with unit testing (e.g., JUnit, Mockito), integration testing
Familiarity with cloud platforms (e.g., AWS, Azure) and containerization technologies like Docker and orchestration tools like Kubernetes is desirable

Job Responsibility

Designs, implements, unit tests, documents and deploys applications and APIs based on functional requirements
Designs and develops database applications using SQL Server Integration Services, TSQL and Stored Procedures
Consults with the business to determine logical design for new business solutions according to existing data architecture
Performs code reviews, analyze execution plans, and re-factor inefficient code
Provides technical support & guidance to Software Engineers I/II in development of desired software/applications
Follows data standards, resolves data issues, completes unit testing and completes system documentation for ETL processes
Assists Managers with project development, including documentation of features, recording of progress, and creation of the testing plan
Collaborates with business analysts, source system experts, and other team members to determine data extraction and transformation requirements
Collaborates with IT operations and testing organizations to ensure timely releases of projects and database environments are sustainable
Supports IT staff and business users in the development, usage and troubleshooting of database-driven applications

Fulltime

Staff Ecosystem Analyst

Block is seeking a Staff Ecosystem Analyst to join the Customer Insights team. I...

Location

United States , Bay Area

Salary:

168300.00 - 297000.00 USD / Year

Cash App

Expiration Date

Until further notice

Requirements

Exceptional Communication: The ability to translate complex technical concepts into compelling narratives for both technical and non-technical executive audiences
Leadership & Influence: A proven track record of leading cross-functional projects and influencing strategy without direct authority in a fast-paced environment
Strategic Problem Solving: Experience resolving ambiguous, high-impact business issues by translating high-level needs into robust analytical frameworks
Technical Mastery: SQL: Advanced proficiency in writing complex, eloquent, and efficient queries (Snowflake experience preferred)
Programming: Advanced proficiency in Python or R for data science and automation
Visualization: Mastery of data exploration tools such as Tableau, Mode, or Looker
Adaptability: A growth mindset with the ability to ramp up quickly on new business domains and pivot strategies as conditions evolve
Experience: 10+ years of related experience (Data Science, Statistics, Management Consulting or related field) with a Bachelor's degree
or 8 years with a Master's
or 6 years with a PhD

Job Responsibility

Lead Strategic Data Initiatives: Spearhead strategic analyses connecting data across Block's entities to form authoritative points of view on complex business challenges
Synthesize Holistic Insights: Partner with UX researchers, market researchers, and data scientists to integrate behavioral, survey, financial, and spatial data into a single, comprehensive source of truth
Serve as a Strategic Thought Partner: Act as an advisor to leadership, product managers, marketers and designers. You will provide the rigorous, timely analysis necessary to inform product roadmaps and drive innovation
Innovate with AI: Proactively leverage AI and automation tools (including LLMs and agents) to accelerate workflows and synthesize structured and unstructured data with high velocity
Collaborate by Default: Navigate the complexities of a multi-business organization with a 'one-team' mentality, ensuring analytical insights align with both technical and business priorities
Drive End-to-End Excellence: Own the full project lifecycle—from first-principles problem definition to final executive presentation—with total autonomy and an uncompromising standard for quality
Master Complex Datasets: Utilize SQL and scripting languages to navigate massive, intricate datasets, surfacing actionable opportunities that others might miss
Execute as a Practitioner-Leader: Design and build sophisticated behavioral analyses leveraging log and usage data
Develop statistical models (e.g., driver analysis, clustering) to uncover deep user relationships
Conduct network and spatial analyses, utilizing mapping tools like Tableau, ArcGIS, or Carto to visualize geographic trends

What we offer

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

Fulltime

Staff Data Scientist, Growth Analytics

Airwallex

Location:
United States , San Francisco

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
February 21, 2026

Looking for more opportunities? Search for other job offers that match your skills and interests.

Similar Jobs for Staff Data Scientist, Growth Analytics

Staff Data Scientist

Staff Data Scientist, Growth

Staff Data Scientist, Growth

Staff Data Scientist, Growth

Staff Data Scientist, Growth

Staff Data Scientist, Analytics (Payments)

Engineer III - Software Engineering

Staff Ecosystem Analyst

Staff Data Scientist, Growth Analytics

Airwallex

Location:United States , San Francisco

Category:IT - Software Development

Contract Type:Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:February 21, 2026

Looking for more opportunities? Search for other job offers that match your skills and interests.

Similar Jobs for Staff Data Scientist, Growth Analytics

Staff Data Scientist

Staff Data Scientist, Growth

Staff Data Scientist, Growth

Staff Data Scientist, Growth

Staff Data Scientist, Growth

Staff Data Scientist, Analytics (Payments)

Engineer III - Software Engineering

Staff Ecosystem Analyst

Location:
United States , San Francisco

Category:
IT - Software Development

Contract Type:
Not provided

Job Posted:
February 21, 2026