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. This role is based in Singapore, with the opportunity to relocate and work in a fast-growing, globally connected tech ecosystem. About the team The risk platform team at Airwallex is responsible for managing the risk for all the products at Airwallex, including GTPN, Payment, Issuing, Onboarding, and Account takeover. The risk landscape is constantly changing, and fraudsters are becoming increasingly sophisticated. We are at the forefront of innovation in risk management. What you'll do As a Senior Machine Learning engineer, you will tackle challenging machine learning problems in the international payment risk domain and help build industry-leading model systems. You will be responsible for implementing end-to-end ML solutions to address real business challenges and will be accountable for delivering business impact. This role is based in "Singapore". Responsibilities: - Analyze business requirements and translate them into machine learning problems - Work on data engineering, feature engineering, model training, and deployment - Identify issues and propose effective solutions through regular analysis - Develop machine learning platforms and tools to streamline ML workflows at Airwallex - Collaborate with cross-functional teams to apply models that solve business problems 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: - At least 3+ years experienced with common ML libraries, such as scikit-learn, TensorFlow, PyTorch, Keras, etc. - Bachelor's or above degree in Computer Science, Engineering, or a related technical field. - Proficient in coding language such as Python and SQL. - Experience in payment risk or international e-commerce risk is a plus. - Experience in applying LLMs to real-time risk management is a plus. 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

Ibotta is seeking a Senior Data Scientist to join our fast growing Client Data & Measurement team and move forward our mission to Make Every Purchase Rewarding. We are a cross-functional team that creates data and analytical solutions throughout the business. We seek to understand, and provide recommendations to spur business growth, serving as an expert within the company for delivering solutions that solve complex challenges. As a Senior Data Scientist, you will be responsible for using the latest developments in statistics, machine learning, and data visualizations. Using these skills, you will identify and build strategic opportunities to grow the business, support initiatives, and drive value. In addition, you will be expected to build trustworthy and robust datasets for use throughout the organization. This role will immediately drive impact through the support, guidance, and collaboration with multiple spokes as part of our Hub and Spoke organizational layout. 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: - Initiate and drive collaboration with stakeholders, architects, and data engineers to discover, define, cleanse, and refine the data needed for analysis and modeling - Establish strong cross departmental relationships with stakeholders and peers to understand business problems and opportunities for improvements - Analyze, and at times build, large and novel datasets to extract actionable insights to inform model development and understand customer behavior and or product performance - Ability to prioritize projects based on business impact and value; lead and manage large scale projects - Build models using a variety of statistical and machine learning techniques, from selecting the best type of model for the problem to using advanced techniques to measure and optimize model performance - Become an expert of the Ibotta Data Ecosystem and how various teams leverage Ibotta’s suite of data to answer domain specific business questions through advanced analytic techniques - Inform experimental design to formulate solutions addressing major business challenges and innovation opportunities - Provide data science mentoring and education to this team and others across the company - Embrace and uphold Ibotta’s Core Values: Integrity, Boldness, Ownership, Teamwork, Transparency & A good idea can come from anywhere What we are looking for: - 5+ years of experience making significant impacts in a professional data science or machine learning role - Bachelor’s degree in Computer Science, Engineering, Analytics or a related field required - A history of and passion for driving important decisions using data and data storytelling - A love of learning and continuous development, including staying at the forefront of the latest advances in data science and machine learning. Broad-scale community contributions to the fields of data science and machine learning in the way of conference presentations, professional publications, and/or recognized internet presence are a strong plus - Applied machine learning and statistical algorithms to optimize processes, predict outcomes, forecast trends, and enhance decision-making, driving improved efficiency and results - Expert-level Python knowledge, skills, and abilities. Spark or PySpark experience is a strong plus - Excellent statistical analysis skills, with a solid understanding of experimental design and time series analysis a strong plus - Superior analytical and problem solving skills - Expert-level knowledge, skills, and abilities in database manipulation, query languages, and graph data schemas - Experience manipulating complex data to apply business rules for improved feature engineering within data lakes, distributed systems, and data streams - Experience in MLOps a strong plus but not required 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 is located in Denver, CO and 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: $130,000 - $165,000. 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. - 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. - 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. #LI-Remote #BI-Remote #BI-Hybrid

• Analyze healthcare datasets—including claims, electronic health records, and health information exchange data—to identify opportunities to improve patient care and outcomes. • Develop models and analytical approaches to support population health initiatives such as risk stratification, quality improvement, and market analysis. • Design and deliver dashboards, reports, and data visualizations that translate complex findings into clear, actionable insights. • Partner with clinical, operational, and leadership teams to define analytics needs and guide data-informed decisions. • Build and maintain data models and analytical workflows using tools such as Snowflake, DBT, and modern cloud data platforms. • Apply statistical methods and advanced SQL techniques to investigate trends, evaluate programs, and inform strategy. • Explore and integrate new data sources—including population, census, and operational data—to deepen understanding of patient needs. • Contribute to the evolution of our analytics infrastructure and machine learning capabilities using cloud-based tools and notebooks. • Stay current with emerging AI technologies and contribute to strategic roadmap planning.

• Create target group analyses • Evaluate marketing-relevant models, e.g., based on spend, revenue and tracking data • Contribute to the standardization of data collection and analysis processes and to the preparation of reports • Support data preparation, analysis and visualization • Prepare presentations and support project work