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

Staff Data Scientist, Marketing

10x Genomics is seeking a Staff Data Scientist - Marketing to lead the developme...

Location

United States , Pleasanton

Salary:

198500.00 - 268500.00 USD / Year

10x Genomics

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Marketing, Business, Statistics, Data Science, or a related field
6+ years of experience in marketing analytics, data science, or a related field, with a proven track record of driving measurable impact
Expert-level proficiency in SQL and either Python or R for data manipulation and statistical analysis
Strong understanding of statistical modeling, marketing attribution, and predictive analytics
Experience with data visualization tools (e.g., Tableau, Power BI) and web analytics platforms (e.g., Google Analytics)
Experience with CRM and marketing automation platforms (e.g., Salesforce, Marketo)
Ability to synthesize complex data into clear, actionable insights for both technical and non-technical stakeholders
Excellent communication, collaboration, and project management skills

Job Responsibility

Serve as a strategic partner to marketing leadership, translating business goals into data-driven strategies and measurable outcomes
Architect and advocate for a unified customer data model, collaborating with data engineering to ensure scalable, high-quality data infrastructure
Lead the development of attribution models and marketing mix analyses to identify high-impact campaigns and optimize spend
Build and maintain executive-level dashboards and operational reporting tools to monitor marketing performance across channels
Conduct deep-dive analyses of customer behavior, campaign effectiveness, and channel ROI to uncover growth opportunities
Define and track key metrics such as Customer Acquisition Cost (CAC), Lifetime Value (LTV), and conversion rates
Design and analyze A/B tests to improve campaign performance and user experience
Partner with marketing operations to enhance automation, segmentation, and targeting strategies using data insights
Improve data accuracy, reporting processes, and analytics workflows across the marketing organization
Analyze digital performance across SEO/SEM, website traffic, social media, and email campaigns

What we offer

Equity grants
Comprehensive health and retirement benefit programs
Annual bonus program or sales incentive program
Competitive and comprehensive health benefits package
Easy-to-use benefits that promote wellbeing
Family friendly policies like parental leave
Generous Time Off

Fulltime

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, 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

RDSO Sr. Mgr Data Sciences

Data is the new gold. Digitalization is generating large quantities of data and,...

Location

India , Hyderabad

Salary:

Not provided

Amgen

Expiration Date

Until further notice

Requirements

Any degree and 12 -17 years of experience in statistics, data science, operations research, mathematics, econometrics, business administration, or a related quantitative field
12-17 years of experience delivering complex analytical projects using quantitative methods, multivariate statistics, predictive modeling, and advanced analytics techniques
Demonstrated experience building, deploying, and optimizing machine learning models to drive business outcomes
Experience leading offshore or globally distributed analytics teams, preferably within an India delivery model
Strong ability to translate business requirements into analytical plans and influence decision-making through clear communication
Hands-on experience with modern data platforms and cloud technologies (e.g., AWS, Snowflake, Spark, Databricks)
Proficiency in Python, R, Scala, Java, SQL, and BI tools (e.g., Tableau, Spotfire)
Demonstrated application of advanced analytics, AI/ML, NLP, and statistical modeling to complex business problems
Strong written, verbal, and presentation skills with senior leadership audiences
Experience operating effectively in a matrixed, global environment

Job Responsibility

Design and develop analyses (e.g., descriptive, diagnostic, predictive, prescriptive) to enable concrete insights and inform timely decision-making
Strategize with partners across the organization to build scalable, production-grade AI/ML products and apply consistent approaches to solving complex business problems
Identify key business questions required to meet evolving needs
prioritize resources to address critical business issues and decisions
Design and build analytical frameworks, tune model parameters, and monitor model performance over time
Lead and provide thought leadership across end-to-end development, deployment, and sustainment of digital and analytics solutions
Partner with IS and data engineering teams to define data requirements, automate model retraining, and ensure robust deployment pipelines
Ensure dashboards and downstream products are fed by reliable, high-quality analytical models aligned to business needs
Apply agile delivery methods to ensure efficient, integrated, and scalable business and system processes
Build, lead, and develop a high-performing India-based Data Sciences team, including hiring, onboarding, performance management, coaching, and career development

What we offer

Full support and career-development resources to expand your skills and maximize your potential
A diverse and inclusive community of belonging, where teammates are empowered to contribute and lead
Competitive total rewards package supporting health, wealth, work/life balance, and career growth

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

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Job Posted:February 21, 2026

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