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

Data Scientist – Machine Learning & Predictive Analytics About the RoleRDA is a digital transformation consultancy helping future-ready enterprises solve complex business challenges through AI, strategy, and customer experience. We’re expanding our data capabilities and seeking a Data Scientist to design and deliver machine learning solutions that drive measurable business impact. In this role, you’ll work closely with clients to explore data, build predictive models, and bring those solutions into production. You’ll operate at the intersection of hands-on development and client collaboration, contributing to both delivery and early-stage solutioning in a consulting environment. Location Remote. We’re interested in candidates based in Eastern or Central Time Zones, as collaboration happens primarily during EST hours. What You’ll Do - Analyze client data to identify trends, correlations, anomalies, and predictive opportunities - Build, train, evaluate, and deploy machine learning models across a variety of use cases - Select appropriate statistical and ML approaches, experiment with alternatives, and optimize model performance - Prepare and process data for modeling, including cleaning, transformation, and feature engineering - Integrate ML solutions into client systems in partnership with engineering teams - Monitor models for drift, bias, and accuracy over time and adjust as needed - Present insights and recommendations to business stakeholders in a clear, compelling way - Participate in discovery sessions to understand client objectives and data landscapes - Support sales and pre-sales by helping scope machine learning opportunities - Collaborate with cross-functional RDA project teams throughout implementation cycles Required Qualifications - 3–8+ years of hands-on experience in machine learning (including model selection, training, tuning, evaluation, and deployment in production environments - Strong Python Expertise with common ML libraries (e.g., pandas, NumPy, scikit-learn, TensorFlow, PyTorch) - Solid foundation in statistical modeling and predictive analytics, including experience with data wrangling and feature engineering - Hands-on experience with Microsoft Azure ML Studio and Microsoft Fabric - Experience building and deploying ML solutions in cloud environments and working across diverse business domains - Bachelor’s degree in a related field or equivalent practical experience - Helpful skills include consulting background; data visualization experience; and LLM-based or AI agent solution experience Why Join RDA? If you enjoy solving open-ended business problems with data and working directly with stakeholders to shape solutions, this role offers the opportunity to make a real impact. You’ll work across a variety of domains, explore new datasets, and bring clarity to complex challenges, applying machine learning in ways that move ideas from concept into production. No third parties, please. Only U.S. Citizens or U.S. Permanent Residents need apply.

• Establish a development framework consisting of task breakouts, milestones, deliverables, and risk mitigation strategies for the proof-of-concept. • Participate in discussions involving current intake workflows, decision-making processes, and the allocation of State labor resources. • Contribute to the identification of intake process shortcomings and prioritize them based on their impact on children and State resources. • Lead the development of a new intake process that leverages natural language processing and machine learning algorithms. • Evaluate architectural, computational, and data source trade-offs for each functional block, considering technical, schedule, and security risk factors. • Create and lead the design review process, evaluating functional design, risk factors, data sources, and proposed methods of demonstration. • Oversee prototype implementation through weekly status updates and gate reviews, providing guidance to mitigate risk and remove roadblocks. • Provide conference room demonstration support over 3 to 4 days, showcasing how the prototype application can improve child outcomes and reduce State resource usage. • Capture key stakeholder feedback on technical aspects of the application during the demonstration phase. • Contribute to the development of a roadmap for integrating the developed technology into the State's existing ecosystem of technologies and processes.