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

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, 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, Firefox

Mozilla Corporation is the non-profit-backed technology company that has shaped ...

Location

United States

Salary:

Not provided

Mozilla

Expiration Date

Until further notice

Requirements

8+ years of experience in data science, analytics, or applied quantitative analysis, with a track record of shaping product strategy through data
Demonstrated ability to lead complex, cross-functional analytical initiatives from problem framing through stakeholder alignment to decision
Deep expertise in experimentation (A/B testing) and causal inference, with strong judgment about when each method applies and what conclusions they support
Advanced proficiency in SQL and Python for analysis, modeling, and validation
Experience defining and owning product metrics that teams actually use to make decisions
Strong opinions, loosely held: you can take a position on what the data says, advocate for it clearly, and update when the evidence changes
Track record of mentoring or technically leading other data scientists
Commitment to our values: Welcoming differences, Being relationship-minded, Practicing responsible participation, Having grit

Job Responsibility

Own the analytical strategy for a product area: identifying the highest-leverage questions, defining the measurement framework, and ensuring data-driven decisions
Serve as a strategic partner to product and engineering leadership, translating ambiguous business problems into analytical approaches and clear, actionable recommendations
Define north-star metrics and measurement strategies to set goals, evaluate progress, and make trade-offs
Design and oversee experiments and causal analyses, ensuring methodological rigor and that results drive real product decisions
Develop and maintain a deep understanding of user growth dynamics: how acquisition, activation, and retention interact to drive growth, and use that understanding to diagnose metric movements, explain trends to leadership, and anticipate emerging risks or opportunities
Contribute and own areas of the team’s forecasting and growth modeling efforts, helping translate statistical models into actionable growth strategies
Mentor and elevate other data scientists through code review, methodology guidance, and establishing reusable analytical frameworks
Represent data science in cross-functional forums, making the case for what the data shows even when it challenges prevailing assumptions
Drive alignment across data science, data engineering, and product on shared priorities like data quality, metric definitions, and instrumentation

What we offer

Generous performance-based bonus plans to all eligible employees
Rich medical, dental, and vision coverage
Generous retirement contributions with 100% immediate vesting
Quarterly all-company wellness days
Country specific holidays plus a day off for your birthday
One-time home office stipend
Annual professional development budget
Quarterly well-being stipend
Considerable paid parental leave
Employee referral bonus program

Fulltime

Member of Technical Staff - Data Scientist

As a data scientist at Microsoft AI, you will be tasked with helping us to maxim...

Location

United States , Redmond

Salary:

119800.00 - 234700.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience

Job Responsibility

Drive product insights, opportunity analysis, and track metrics to support efforts across Microsoft Copilot
Drive new ways of instrumenting and measuring impact to evaluate new feature performance through experimentation
Define metrics and build basic data pipelines to enable A/B experimentation for new features and mitigating abusive users
Hands-on analysis of large volumes of telemetry data using various algorithms and tools including your own
Articulate insights, storyboard with data and communicate to influence leadership and other key decision makers
Find a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively
Enjoy working in a fast-paced, design-driven, product development cycle
Work collaboratively with engineers, Product Managers, and marketing to take ambiguous projects that drive user growth, engagement, and retention
Embody our Culture and Values

Fulltime

Staff Data Scientist, Airports and Travel

As a Staff Data Scientist, you will serve as a strategic thought leader and "Pro...

Location

United States , San Francisco

Salary:

216000.00 - 240000.00 USD / Year

Uber

Expiration Date

Until further notice

Requirements

Bachelor's or M.S. degree in Economics, Operations Research, or a related quantitative field (e.g., Engineering, Applied Mathematics, Computer Science with a strong modeling focus)
7+ years of relevant industry experience in a Product Data Science, Applied Science, or equivalent role, with a proven track record of driving organizational impact
Strong ability to understand user behavior from data, identify and size opportunities, and drive solutions end to end
Expert proficiency with Python, Pandas and SQL for large-scale data analysis, modeling, and production-level code collaboration
Expertise in advanced experimentation (A/B testing, causal inference) and applying statistical rigor to complex business problems
Exceptional communication skills, with proven experience in synthesizing complex data into persuasive narratives for both technical and executive audiences

Job Responsibility

Strategic Problem Finding: Proactively identify, frame, and quantify the most ambiguous, high-leverage growth opportunities for the business, translating them into actionable, organization-level projects
Lead End-to-End Solutions: Identify business opportunities and transform them into rigorous, data-driven solutions to build the next generation of end-to-end experiences for Uber travelers by partnering with engineering, product, and operations to co-drive execution
Advanced Experimentation Leadership: Design, own, and rigorously analyze complex experimentation frameworks, including those dealing with multi-market attribution, to provide definitive launch recommendations and set the scientific agenda for the team
Infrastructure & Measurement Ownership: Define and champion the adoption of canonical business health metrics across the organization, partnering with data engineering to build scalable, reliable data and measurement infrastructure
Executive Influence: Synthesize complex data into clear, persuasive narratives and communicate strategic recommendations to senior leadership (Director/VP level), mobilizing cross-functional alignment across product, engineering, and operations
Cross-Functional Leadership: Partner deeply with engineering, product, and operations to identify impactful opportunities and co-drive execution from inception to delivery. Act as a scientific thought leader, mentoring junior scientists and influencing technical strategy across the organization
Technical Mentorship: Act as a scientific mentor, elevating the analytical and experimentation bar for junior and mid-level data scientists on the team

What we offer

Eligible to participate in Uber's bonus program
may be offered an equity award & other types of comp
eligible to participate in a 401(k) plan
various benefits

Fulltime

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 Scientist, Eats Growth (Economist)

Uber Eats is on a mission to redefine how people discover and enjoy food — and t...

Location

United States , San Francisco, California; New York, New York

Salary:

216000.00 - 240000.00 USD / Year

Uber

Expiration Date

Until further notice

Requirements

Ph.D., M.S., or Bachelors degree in Statistics, Economics, Operations Research, or other quantitative fields
Minimum 5 years of industry experience as a Data Scientist or equivalent role (2+ if holding a Ph.D.)
Expertise in experimental design and statistical analysis for A/B testing and causal inference
Proficiency in SQL & Python for exploratory data analysis and modeling
Strong analytical skills, with experience extracting user behavior insights from large datasets
Experience with data visualization and dashboarding tools (e.g., Tableau, Matplotlib)

Job Responsibility

Design, execute, and analyze large-scale experiments within the Uber Eats and Uber Rides apps
Perform analytical deep dives to explore topics including conversion funnels, shopping journeys, personalization & ranking, and user retention
Design frameworks for optimizing tradeoffs across competing business objectives to maximize platform growth
Collaborate with Product, Engineering, Design, and other cross-functional partners to understand user behavior and guide future product strategy
Present findings and recommendations to senior technical and business leaders

What we offer

Eligible to participate in Uber's bonus program
May be offered an equity award
Eligible to participate in a 401(k) plan
Various benefits

Fulltime

Staff Safety Data Scientist, Safety Analysis

We are searching for a Staff Safety Data Scientist on the Safety Analysis team w...

Location

United States , Pittsburgh

Salary:

Not provided

Aurora Innovation

Expiration Date

Until further notice

Requirements

Bachelor's degree in Data Science, Statistics, Mathematics, Physics, Engineering, Computer Science, or equivalent applicable technical experience
7+ years of progressive experience solving large-scale complex problems
Demonstrated experience in a safety related domain (e.g., transportation, aerospace, robotics, medical devices)
Strong understanding of safety principles and risk assessment methodologies
with a proven track record of using data science techniques to solve safety challenges and mitigate risks in a dynamic environment
Deep command of statistical methods, probabilistic modeling, and performing rapid exploratory data analysis
Expertise in data science tools (e.g., Python, SQL, R), statistical modeling, machine learning, predictive analytics, and visualization software (e.g., Tableau, Power BI)
Adept at querying, analyzing, and visualizing large datasets
Excellent communication and presentation skills, with the ability to convey complex information to various audiences
Strong leadership skills, with the ability to provide guidance and mentorship

Job Responsibility

Lead the development of novel quantitative data analytics using both proprietary (Aurora-logged, sensor, system, integration testing data) and publicly available data (CRSS, FARS, state-level information)
Author and present technical analyses and findings to diverse internal and external audiences, including stakeholders, authoritative bodies, and industry forums
Design and automate data collection and analysis to support ongoing safety programs
Extract insights from historical system safety performance to develop leading indicators for future performance forecasting
Analyze safety data from operational vehicles, crash metrics, and near-miss incidents to inform safety strategies and decision-making
Develop statistical models and algorithms to predict potential risks and prevent incidents, improving the safety performance of autonomous systems
Model self-driving vehicle behaviors at the system and subsystem levels
Develop and maintain reports and expressions of baseline risk coverage and application in operations
Design and develop expressions of risk benchmarking from similar industries
Create dashboards and reports for communicating risk, ranking, and anomalies

What we offer

annual bonus
equity compensation

Fulltime

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Staff Data Scientist, Growth Analytics

Job Description

Job Responsibility

Requirements

Nice to have

What we offer

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