Role DescriptionWe're looking for a Senior Data Scientist to partner with product, engineering, and design teams to answer key questions and drive impact in the AI and Core Experience area. This area focuses on improving key part of the core product through re-envisioning the user experience including the home experience, integrating AI features into the user experience, and building new functionality. We solve challenging problems and boost business growth through a deep understanding of user behaviors with applied analytics techniques and business insights. An ideal candidate should have robust knowledge of consumer lifecycle, behavior analysis, and customer segmentation. We’re looking for someone who can bring opinions and strong narrative framing to proactively influence the business. Responsibilities - Perform analytical deep-dives to analyze problems and opportunities, identify the hypothesis and design & execute experiments - Inform future experimentation design and roadmaps by performing exploratory analysis to understand user engagement behavior and derive insights - Create personalized segmentation strategies leveraging propensity models to enable targeting of offers and experiences based on user attributes - Identify key trends and build automated reporting & executive-facing dashboards to track the progress of acquisition, monetization, and engagement trends. - Identify opportunities, advocate for new solutions and build momentum cross-functionally to move ideas forward tha tare grounded in data. - Monitor and analyze a high volume of experiments designed to optimize the product for user experience and revenue & promote best practices for multivariate experiments - Translate complex concepts into implications for the business via excellent communication skills, both verbal and written - Understand what matters most and prioritize ruthlessly - Work with cross-functional teams (including Data Science, Marketing, Product, Engineering, Design, User Research, and senior executives) to rapidly execute and iterate Requirements - Bachelors’ or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field - 6+ years experience using analytics to drive key business decisions; examples include business/product/marketing analytics, business intelligence, strategy consulting - Proven track record of being able to work independently and proactively engage with business stakeholders with minimal direction - Significant experience with SQL - Deep understanding of statistical analysis, experimentation design, and common analytical techniques like regression, decision trees - Solid background in running multivariate experiments to optimize a product or revenue flow - Strong verbal and written communication skills - Strong leadership and influence skills - Proficiency in programming/scripting and knowledge of statistical packages like R or Python is a plus Preferred Qualifications - Product analytics experience in a SAAS company - Masters’ or above in a quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field CompensationUS Zone 1 This role is not available in Zone 1 US Zone 2 $173,700—$234,900 USD US Zone 3 $154,400—$208,800 USD

• Design, develop and deploy advanced statistical or machine learning models related to credit risk, pricing, collections, fraud, and other high-impact business use cases that drive better data-driven decisions • Execute the full model lifecycle, from initial data discovery and feature engineering to deployment, monitoring and iterative improvement • Partner with cross-functional teams including Portfolio Strategy, Collections, Engineering, Product, Underwriting, and Sales to integrate models into our applications and ensure they function seamlessly • Communicate complex technical concepts, model results, and business implications to both technical and non-technical stakeholders • Develop production-grade code and contribute to internal toolkits, documentation, and peer code review to ensure high-quality delivery • Build and maintain production machine learning pipelines and monitoring systems to ensure models are reliable, scalable and continuously improving

Ibotta is seeking a Principal Data Scientist - Causal Inference to serve as a strategic technical leader and the highest level of individual contributor within our data science organization. You'll drive business-critical initiatives while establishing technical standards that elevate our entire organization's capabilities and carrying additional emphasis on deep technical expertise and problem-solving. A core focus will be enhancing and partnering to evolve Ibotta's productized measurement solutions that demonstrate how we drive incremental sales for brand partners at scale. You'll collaborate across teams to understand edge cases, design and validate innovation and experiments, and ensure our measurement products maintain the rigor required of industry leading organizations. ​ This position is available in multiple locations: Denver, Colorado - if you are in or willing to relocate to the Denver area, this is a hybrid position requiring 3 days in office (Tuesday, Wednesday, and Thursday). Remote options are available for the following states - AZ, AR, CA, FL, GA, IL, IN, IA, KS, MD, MA, MI, MN, MO, MT, NV, NJ, NY, NC, OH, OK, PA, TN, TX, UT, VA, WA, WI. If you’re not in the Denver metro area or the listed states, relocation reimbursement to Denver is available. What You Will Be Doing: - Help lead the continued evolution of Ibotta's measurement methodology through exploration of cutting-edge measurement research and experimental design - Collaborate as the go-to troubleshooter for measurement anomalies—exploring outlier results, diagnosing data quality issues, and validating statistical assumptions across alpha, beta, and production measurement systems - Lead code reviews and architecture discussions, providing expert guidance on design patterns, scalability, and technical trade-offs. Foster a culture of code quality, rigorous measurement, and collaborative problem-solving - Evaluate and adopt new tools, explore frameworks and innovative model forms that enhance team effectiveness, while maintaining code quality standards - Lead enterprise-wide data science initiatives spanning 6+ months with measurable business impact across multiple teams and KRs - Build trusted partnerships with C-suite executives, product managers, and data science leaders to translate business problems into technical solutions while delivering with consistency and transparency - Present complex technical concepts clearly to both technical and non-technical audiences, including executive leadership. Deliver high impact presentations on key initiatives and research, with easily understood visualizations, to drive insight and adoption - Mentor more junior data scientists through technical guidance, code reviews, and strategic coaching - Create technical training programs and documentation that elevate organizational data science maturity - Embrace and uphold Ibotta's Core Values: Integrity, Boldness, Ownership, Teamwork, Transparency, & A good idea can come from anywhere What We Are Looking For: - 10+ years of professional experience in data science, machine learning, or advanced analytics with demonstrated transformational impact - Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, Data Science, or related quantitative field required; Master's or Ph.D. strongly preferred - Experience in performance marketing, retail media, e-commerce, or CPG analytics environments strongly preferred - Expert-level SQL and Python with demonstrated ability to write clean, maintainable, well-tested production-grade code. Experience with distributed computing (Spark, PySpark) and cloud platforms (AWS, GCP, Azure) is a requirement - Strong software engineering practices: version control (Git), CI/CD, unit testing, code review, design patterns - Advanced ML frameworks and techniques (time series, ensemble methods) and MLOps practices (model deployment, monitoring, feature engineering) strongly preferred - Deep expertise in experimental methods like RCTs and AB testing at scale, along with quasi-experimental designs: difference-in-differences, propensity score matching, regression discontinuity, and similar modalities - Deep understanding of performance marketing metrics (ROAS, incrementality, new-to-brand acquisition)​, and ability to quantify and communicate business impact About Ibotta ("I bought a...") Ibotta (NYSE: IBTA) is a leading performance marketing platform allowing brands to deliver digital promotions to over 200 million consumers through a network of publishers called the Ibotta Performance Network (IPN). The IPN allows marketers to influence what people buy, and where and how often they shop – all while paying only when their campaigns directly result in a sale. American shoppers have earned over $2.6 billion through the IPN since 2012. The largest tech IPO in history to come out of Colorado, Ibotta is headquartered in Denver, and is continually listed as a top place to work by The Denver Post and Inc. Magazine. To learn more about what our Tech teams are doing day to day, visit Building Ibotta on Medium.com. Additional Details: - This position includes competitive pay, flexible time off, benefits package (including medical, dental, vision), Employee Stock Purchase Program, and 401k match. Denver office perks include paid parking, snacks, and occasional meals. - Base compensation range: $180,000 - $238,000. Total compensation for this role also includes a variable component in addition to base salary. Equity is included in overall compensation package. This compensation range is specific to the United States labor market and may be adjusted based on actual experience. - Ibotta is an Equal Opportunity Employer. Ibotta’s employment decisions are made without regard of race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other legally protected status. - Applicants must be currently authorized to work in the United States on a full-time basis. - Applicants are accepted until the position is filled. - For the security of our employees and the business, all employees are responsible for the secure handling of data in accordance with our security policies, identifying and reporting phishing attempts, as well as reporting security incidents to the proper channels. #LI-Remote #BI-Remote #BI-Hybrid

About Airwallex Airwallex is the only unified payments and financial platform for global businesses. Powered by our unique combination of proprietary infrastructure and software, we empower over 200,000 businesses worldwide - including Brex, Rippling, Navan, Qantas, SHEIN and many more - with fully integrated solutions to manage everything from business accounts, payments, spend management and treasury, to embedded finance at a global scale. Proudly founded in Melbourne, we have a team of over 2,000 of the brightest and most innovative people in tech across 26 offices around the globe. Valued at US$8 billion and backed by world-leading investors including T. Rowe Price, Visa, Mastercard, Robinhood Ventures, Sequoia, Salesforce Ventures, DST Global, and Lone Pine Capital, Airwallex is leading the charge in building the global payments and financial platform of the future. If you're ready to do the most ambitious work of your career, join us. Attributes We Value We hire successful builders with founder-like energy who want real impact, accelerated learning, and true ownership. You bring strong role-related expertise and sharp thinking, and you're motivated by our mission and operating principles. You move fast with good judgment, dig deep with curiosity, and make decisions from first principles, balancing speed and rigor. You're humble and collaborative; turn zero-to-one ideas into real products, and you "get stuff done" end-to-end. You use AI to work smarter and solve problems faster. Here, you'll tackle complex, high-visibility problems with exceptional teammates and grow your career as we build the future of global banking. If that sounds like you, let's build what's next. About the team As a global team, we span across Australia, China, USA, and Singapore, revolutionizing applied data science, data engineering and platform solutions to support Airwallex's rapid growth. You will collaborate with a diverse range of cross-functional partners, including Product, Engineering, Marketing, Sales, Finance, and more, to tackle complex data problems and shape the future of fintech. Learn more about the data science team in this blog. The Role - Effectively manage Airwallex's risk portfolio, delivering actionable insights to shape our overall risk strategy within financial markets - Apply statistical and/or machine learning models to estimate financial markets risk exposures (including FX, credit, capital, and other product risks), and optimize market forecasting, order routing, fund efficiency, and pricing decisions - Partner with Product Managers, Traders, Risk, Engineering, and other stakeholders to deliver data-driven recommendations that support commercial and operational objectives - Clearly present analytical results and insights to cross-functional teams to influence business strategies and decision-making Who you are We're looking for people who meet the minimum qualifications for this role. The preferred qualifications are great to have, but are not mandatory. Minimum qualifications: - 5+ years industry experience and an advanced degree (PhD or MS) in a quantitative field (e.g. Statistics, Engineering, Sciences, Computer Science, Economics) - Strong understanding of financial markets, foreign exchange, and/or dynamic trading systems is a plus - Experience with communicating the results of analyses to executives and cross-functional teams to influence the strategy - Expert in data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R), experience in schema design and dimensional data modeling a plus - Ability to perform statistical analysis and develop machine learning models to drive data-informed decisions Preferred qualifications: - Experience in technology, financial services, trading environment and/or a high growth environment is advantageous Applicant Safety Policy: Fraud and Third-Party Recruiters To protect you from recruitment scams, please be aware that Airwallex will not ask for bank details, sensitive ID numbers (i.e. passport), or any form of payment during the application or interview process. All official communication will come from an @airwallex.com email address. Please apply only through careers.airwallex.com or our official LinkedIn page. Airwallex does not accept unsolicited resumes from search firms/recruiters. Airwallex will not pay any fees to search firms/recruiters if a candidate is submitted by a search firm/recruiter unless an agreement has been entered into with respect to specific open position(s). Search firms/recruiters submitting resumes to Airwallex on an unsolicited basis shall be deemed to accept this condition, regardless of any other provision to the contrary. Equal opportunity Airwallex is proud to be an equal opportunity employer. We value diversity and anyone seeking employment at Airwallex is considered based on merit, qualifications, competence and talent. We don't regard color, religion, race, national origin, sexual orientation, ancestry, citizenship, sex, marital or family status, disability, gender, or any other legally protected status when making our hiring decisions. If you have a disability or special need that requires accommodation, please let us know. #BI-Hybrid