Job Description
SEON is the command center for fraud prevention and AML compliance, helping thousands of companies worldwide stop fraud, reduce risk and protect revenue. Powered by 900+ real-time, first-party data signals, SEON enriches customer profiles, flags suspicious behavior and streamlines compliance workflows - all from one place. SEON provides richer data, more flexible and transparent analysis, and faster time to value than any other provider on the market. We’ve helped companies reduce fraud by 95% and achieve 32x ROI, and we’re growing fast, thanks to our partnerships with some of the world’s most ambitious digital brands like Revolut, Wise, and Bilt.
SEON is on a mission to create a Fraud Free World. We’re looking for a Data Services Scientist to join our Revenue and Success Services team. In this role, you’ll work across the business to transform data into insights that help us (and our customers) make smarter decisions. Whether it’s building reports for internal teams or uncovering fraud trends for customers, your work will have a direct impact on SEON’s growth and success
This role offers flexibility and is based in our Austin office with a hybrid schedule of being in the office approximately three days per week.
What You'll Do
Master score distribution analysis and deep-dive into transaction data, logs, and product databases to uncover meaningful behavioral patterns and surface strategic, actionable insights.
Build and maintain Tableau dashboards that visualize CX trends, volume variances, and engagement health in real time.
Develop proactive alerting systems that detect anomalies in customer behavior and trigger early mitigation actions.
Collaborate closely with Product, Success, and Revenue teams to align data insights with business impact.
Help define and continuously evolve a customer health score that incorporates usage, sentiment, and behavioral signals.
Partner with data engineers to ensure reliable, clean data pipelines across product analytics tools (ex. Mixpanel, Appcues, etc.), logs, transactional databases, and other key data sources feeding into BI and reporting systems.
Apply machine learning/statistical techniques to predict churn risk, cohort behavior, and customer lifetime value.
Drive experimentation and A/B testing to validate new feature adoption and experience improvements.
Serve as a strategic advisor to internal teams, transforming complex datasets into clear, actionable recommendations.
What You Bring
5+ years in a data science or advanced analytics role, ideally within SaaS, fintech, or customer success-driven organizations.
Expert-level knowledge of Mixpanel, Tableau, and strong experience with Appcues or similar customer engagement tools.
Hands-on experience building proactive alert systems (e.g., anomaly detection, threshold-based alerts).
Proficiency in SQL and Python for data wrangling, modeling, and automation.
Strong business acumen with the ability to connect data signals to business outcomes and customer value.
Solid foundation in statistics, segmentation, and behavioral analytics.
Excellent communication skills to translate data into actionable strategies for non-technical stakeholders.
Experience building or contributing to customer health scores is a major plus.
SEON Technologies collects and processes personal data in accordance with applicable data protection laws. If you are a European Job Applicant see the privacy notice for further details.
SEON is an equal opportunity employer. We strive to embrace what makes each one of us unique; we each have our own story. Whether looking at our current staff or future team members, we believe that everyone has something to contribute, and our employment practices reflect that. We do not make an employment decision based upon race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Please let your recruiter know if you need reasonable adjustments to our recruitment process.
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