CrawlJobs Logo

Staff Data Scientist, Algorithm - Growth

airwallex.com Logo

Airwallex

Location Icon

Location:
United States , San Francisco

Category Icon

Job Type Icon

Contract Type:
Not provided

Salary Icon

Salary:

250000.00 - 299000.00 USD / Year

Job Description:

We’re seeking a Staff Data Scientist to partner closely with the Growth and Marketing teams to design, deploy, and iterate on high-impact data science solutions that drive measurable business outcomes. In this role, you will apply machine learning models to influence how we acquire, engage, and retain customers globally. Your work will directly shape Airwallex’s growth strategy, influencing how we acquire, engage, and retain customers.

Job Responsibility:

  • Uplevel the data science team by providing technical mentorship, assuming hands-on leadership to resolve complex problems, and setting the vision for longer term direction
  • Serve as a strategic thought leader with Marketing, Growth Product, Engineering, and cross-functional teams to inform, influence, support, and execute GTM strategy and investment decisions
  • Design and deploy a range of data science solutions—including predictive models, personalization and recommendation systems, LLM-powered applications, incentive optimization frameworks, and causal inference models—to drive measurable business outcomes
  • Apply machine learning and/or statistical models to measure causal impact of Marketing initiatives

Requirements:

  • 7+ years industry experience
  • Advanced degree (PhD or MS) in a quantitative field (e.g. Statistics, Engineering, Sciences, Computer Science, Economics)
  • Experience communicating analysis results to leadership and cross-functional teams
  • Technical mentorship experience with machine learning and experimentation in an industry setting
  • Expert in machine learning and statistical modeling
  • Hands on experience building, deploying, and maintaining machine learning models in production-grade systems
  • Expert in data querying languages (e.g. SQL) and scripting languages (e.g. Python)
  • Experience in technology, financial services and/or a high growth environment is advantageous
What we offer:
  • 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
  • Offers Equity
  • Offers Bonus

Additional Information:

Job Posted:
February 21, 2026

Employment Type:
Fulltime
Job Link Share:
PREMIUM
More languages and countries
+ Unlock 31695 hidden job offers
Languages
English Čeština Deutsch Ελληνικά Español Français +15
Countries
United States United Kingdom India Canada Australia +
See plans
Plans from $2.99 / month

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

Briefcase Icon

Similar Jobs for Staff Data Scientist, Algorithm - Growth

Staff Data Scientist (Fraud, Risk)

Uber is looking for an experienced and motivated Scientist to join our Global Sa...
Location
Location
Brazil , Sao Paulo
Salary
Salary:
Not provided
uber.com Logo
Uber
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Senior and/or Staff seniority working as a Data Scientist, Applied Scientist, or Machine Learning Engineer
  • Experience building and deploying Binary Classification systems in production for large-scale, high-stakes applications (e.g., Fraud, Safety, or Risk)
  • Deep experience in Experimental Design beyond classical A/B testing, including Quasi-experiments (Diff-in-Diff, Synthetic Control) or Marketplace experiments (Switchbacks)
  • Expertise in handling Extreme Class Imbalance and optimizing models for rare event detection
  • Experience using Python and SQL to work with massive, high-dimensional data sets at scale
  • Solid foundation in Statistical Methodologies such as probability calibration, sampling, and hypothesis testing
Job Responsibility
Job Responsibility
  • Conduct thorough analyses of large, imbalanced datasets to identify trends, patterns, and opportunities for improving safety incident detection
  • Design, implement, and optimize binary classification models and algorithms to predict the probability of high-severity incidents
  • Generate actionable insights from risk data and communicate findings to stakeholders, balancing safety interventions with marketplace growth
  • Work as a thought expert for your cross-functional partners (Product, Ops, and Engineering), pushing the boundaries of how Uber defines and mitigates risk
  • Design complex experiments (Diff-in-Diff, Synthetic Controls) and interpret results to draw impactful conclusions in a marketplace environment where classical A/B testing is often not feasible
  • Define how your cross-functional team measures success by developing Safety & Risk metrics (e.g., Recall, Precision-Recall AUC, Probability Calibration) in partnership with global stakeholders
  • Stay current with the latest advancements in Supervised Learning, Causal Inference, and Anomaly Detection
  • Fulltime
Read More
Arrow Right

Staff Data Scientist - Algorithms

Join us in building the future of finance. Our mission is to democratize finance...
Location
Location
United States , Menlo Park
Salary
Salary:
217000.00 - 255000.00 USD / Year
robinhood.com Logo
Robinhood
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 7+ years of experience applying ML in production, ideally in growth, incentives, marketplace, or personalization domains
  • Proven track record owning models end-to-end — from design and development to deployment and iteration
  • Deep expertise in predictive modeling, uplift modeling, causal inference, and experimentation design
  • Strong technical skills in Python, SQL, and ML frameworks (e.g., scikit-learn, XGBoost, PyTorch or TensorFlow)
  • Experience working with Airflow and production pipelines, as well as tools for causal ML and experimentation
  • Excellent product intuition and ability to translate ambiguous goals into measurable algorithmic solutions
  • Strong communication and stakeholder management skills, with the ability to influence across teams
  • A collaborative and growth-minded approach, with strong technical leadership and a consistent focus on impact and ROI
Job Responsibility
Job Responsibility
  • Build, deploy, and iterate on predictive and causal models for incentive targeting
  • Design and evaluate experiments to measure incremental impact, payback, and ROI of promotional programs
  • Partner cross-functionally with Product, Finance, Marketing, and Engineering to inform scalable incentive strategies
  • Design and optimize incentive allocation algorithms under budget and policy constraints to maximize incremental impact
  • Monitor production systems, analyze user behavior, and propose algorithmic and policy improvements
  • Influence the long-term vision for growth modeling at Robinhood, including personalization and cross-sell optimization
What we offer
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
Read More
Arrow Right

Member of Technical Staff - Data Scientist

As a data scientist at Microsoft AI, you will be tasked with helping us to maxim...
Location
Location
United States , Redmond
Salary
Salary:
119800.00 - 234700.00 USD / Year
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
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
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
Read More
Arrow Right

Staff Data Scientist - Fraud & Risk

We are seeking a skilled and motivated Staff Data Scientist to join our Fraud & ...
Location
Location
United States
Salary
Salary:
140000.00 - 210000.00 USD / Year
socure.com Logo
Socure
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Master’s or PhD in Computer Science, Statistics, Applied Mathematics, Data Science, or a related field
  • or equivalent professional experience
  • 8+ years of experience in data science, machine learning, or related fields, ideally in a high-growth tech or fintech environment
  • Experience in fraud prevention, risk modeling, or identity verification
  • Years of hands-on experience developing and deploying deep learning models (such as transformers, CNNs/RNNs, and graph learning)
  • Experience working with diverse data modalities, such as tabular data, text/language, point clouds, and images
  • Strong proficiency in Python, SQL, and major ML libraries/frameworks (e.g., PyTorch, TensorFlow, scikit-learn)
  • Deep understanding of machine learning algorithms, model evaluation techniques, and data pipeline development
  • Experience with model deployment and monitoring in production environments (specific experience with real-time model inferencing is a plus)
  • Demonstrated ability to proactively deliver complex outcomes, mentor others, and influence cross-functional decisions
Job Responsibility
Job Responsibility
  • Design, develop, and implement advanced deep learning models, including transformers, CNNs/RNNs, and graph learning algorithms, to address complex fraud and risk challenges
  • Build and optimize models using a variety of input data types, including tabular data, natural language, point clouds, and images
  • Lead the end-to-end machine learning lifecycle: data exploration, feature engineering, model training, evaluation, deployment, and monitoring in production environments
  • Take ownership of project outcomes, data quality, and delivery timelines
  • proactively escalate issues and work collaboratively to resolve challenges
  • Mentor and share knowledge with peers and junior data scientists, fostering a culture of experimentation, rapid iteration, and continuous learning
  • Collaborate cross-functionally with Product, Engineering, and Risk teams to define data requirements and drive insights that guide strategic decisions
  • Conduct in-depth research to explore new data sources and develop novel algorithms that advance the state of the art in fraud detection
  • Present findings and recommendations to technical and executive stakeholders with clarity and influence
  • Stay current with advancements in AI and machine learning, applying innovative approaches to real-world problems
What we offer
What we offer
  • Offers Equity
  • Offers Bonus
  • Fulltime
Read More
Arrow Right

Staff Safety Data Scientist, Safety Analysis

We are searching for a Staff Safety Data Scientist on the Safety Analysis team w...
Location
Location
United States , Pittsburgh
Salary
Salary:
Not provided
aurora.tech Logo
Aurora Innovation
Expiration Date
Until further notice
Flip Icon
Requirements
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
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
What we offer
  • annual bonus
  • equity compensation
  • Fulltime
Read More
Arrow Right

Senior or Staff Data Scientist, Recommendations

As our founding Recommendation Data Scientist, you'll be instrumental in buildin...
Location
Location
United States , San Francisco
Salary
Salary:
200000.00 - 300000.00 USD / Year
suno.ai Logo
Suno
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 6+ years experience in data science or machine learning roles with direct experience on recommendation systems - ideally in consumer products, music/audio, or content platforms
  • Strong technical skills in Python, SQL, and statistical modeling
  • Experience designing and running rigorous experiments, evaluating tradeoffs, deriving clear insights, and making actionable recommendations
  • Excellent communication and experience working across multiple functions to influence decisions
  • A self-starter mentality with the ability to thrive in ambiguity, eagerness to wear multiple hats, and passion for continuous learning
  • Applicants must be eligible to work in the US.
Job Responsibility
Job Responsibility
  • Define content strategy: Partner with product and growth leaders to establish our initial content discovery strategy, recommendation goals, and success metrics
  • Get hands-on: Dive deep into user behavior patterns and content characteristics, using these insights to prototype and improve upon recommendation algorithms and features
  • Design and run experiments: Create rigorous testing frameworks to validate recommendation improvements and measure impact on user engagement, retention, and music creation
  • Build evaluation systems: Develop comprehensive frameworks for measuring recommendation quality across multiple dimensions - relevance, diversity, novelty, and user satisfaction
  • Collaborate cross-functionally: Work closely with engineering to test and implement recommendation algorithms and with product to shape user experience
  • Shape data culture: As a part of our growing data science team, contribute to strong data foundations and foster a nuanced and healthy company-wide relationship with data
What we offer
What we offer
  • Company Equity Package
  • 401(k) with 3% Employer Match & Roth 401(k)
  • Medical, Dental, & Vision Insurance (PPO w/ HSA & FSA options)
  • 11 Paid Holidays + Unlimited PTO & Sick Time
  • 16 Weeks of Paid Parental Leave
  • Creative Education Stipend
  • Generous Commuter Allowance
  • In-Office Lunch (5 days per week)
  • Fulltime
Read More
Arrow Right

Staff Scientist, Mobility Matching

The Matching team at Uber builds the systems that determine the optimal way to f...
Location
Location
United States , San Francisco, California; Sunnyvale, California
Salary
Salary:
216000.00 - 240000.00 USD / Year
uber.com Logo
Uber
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Ph.D., or M.S. in Statistics, Economics, Machine Learning, Operations Research, Computer Science, or another quantitative field
  • Minimum 5 years of industry experience as an Applied Scientist, Data Scientist, or in a similar quantitative role
  • Strong knowledge of the mathematical foundations of statistics, machine learning, optimization, and economics
  • Proven experience in experimental design (e.g., A/B testing) and causal inference
  • Proficiency in using Python or R for data analysis, modeling, and algorithm prototyping at scale with large datasets
  • Experience with exploratory data analysis, statistical analysis and testing, and model development
Job Responsibility
Job Responsibility
  • Develop data-driven business insights and work with cross-functional stakeholders to identify opportunities and recommend prioritization of product, growth and optimization initiatives
  • Design and analyze experiments, communicating results that draw detailed and actionable conclusions
  • Analyze and contribute to development of optimization algos and ML models for use in mobility matching
  • Collaborate with cross-functional teams such as product, engineering and operations to drive system development end-to-end from conceptualization to final product
What we offer
What we offer
  • Eligible to participate in Uber's bonus program
  • May be offered an equity award & other types of comp
  • All full-time employees are eligible to participate in a 401(k) plan
  • Eligible for various benefits
  • Fulltime
Read More
Arrow Right

Staff Infrastructure Efficiency Analyst

As an Infrastructure Analyst within the Cloud C.O.R.E team you will be a key dri...
Location
Location
United States , San Francisco
Salary
Salary:
211000.00 - 234000.00 USD / Year
uber.com Logo
Uber
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Ph.D., M.S. or Bachelor's degree in Economics, Statistics, Machine Learning, Operations Research, or other quantitative fields
  • 7+ years of industry experience as an Applied or Data Scientist or equivalent (or 4+ years with Ph.D.)
  • 5+ years of industry experience working with Cloud, either at a hyperscaler or as a cloud customer
  • Familiarity with cloud compute, storage, and data analytics concepts and products, demonstrated through either multiple years of experience on a team building cloud products, or managing the consumption of numerous cloud products, or through accreditation from numerous cloud certifications
  • Demonstrated experience mentoring and coaching junior analysts or peers, with ability to provide constructive feedback and support professional development
  • Excellent communication and collaboration skills: Able to lead initiatives across multiple areas and communicate findings with leadership and engineering teams
  • Background in at least one programming language (eg. Python, R, Java, Ruby, Scala/Spark or Perl)
  • Ability to use Python or similar technologies to work efficiently with large data sets and prototype algorithms & models
  • Coding and SQL proficiency and ability to develop statistical analysis and algorithm prototyping in Python or R
  • Fluency in MS Excel/Google Sheets for analysis and collaboration with finance teams
Job Responsibility
Job Responsibility
  • Translate complex cloud consumption data into actionable insights for leadership and engineering
  • Identify and track optimizations and realized savings
  • Establish key price-performance metrics and partner with engineering to implement price-performance optimizations within production scaling
  • Define and manage reporting of cloud consumption metrics and KPIs, ensuring transparency, accuracy, and accountability
  • Establish consumption anomaly detection capabilities and reporting
  • Partner with engineering and capacity planning teams to optimize resource consumption decision making
  • Support commitment strategies, ensuring commitment decisions that optimize spend and best serve the business and technical strategy
  • Embed cloud consumption shift-left principles into engineering design and architecture
  • Partner with engineers and business leaders to model future consumption and costs to drive strategic decision making
  • Collaborate on infrastructure demand planning across key infrastructure growth metrics
What we offer
What we offer
  • Eligible to participate in Uber's bonus program
  • May be offered an equity award & other types of comp
  • All full-time employees are eligible to participate in a 401(k) plan
  • Eligible for various benefits (see link)
  • Fulltime
Read More
Arrow Right