Job Description

SEON is the leading fraud prevention system of record, catching fraud before it happens at any point across the customer journey. Trusted by over 5,000 global companies, we combine your company’s data with our proprietary real-time signals to deliver actionable fraud insights tailored to your business outcomes. We deliver the fastest time to value in the market through a single API call, enabling quick and seamless onboarding and integration. By analyzing billions of transactions, we’ve prevented $200 billion in fraudulent activities, showcasing why the world’s most innovative companies choose SEON.

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.

What We Offer

• Employee stock ownership plan (ESOP)
• Hybrid working environment 
• Unlimited PTO 
• Excellent Benefits including matching 401k
• Paid Parental leave
• Access to continuous development tools & a strong coaching culture

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