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Storm2

Senior Data Scientist

Storm2, Sunnyvale, California, United States, 94087

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This range is provided by Storm2. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range

$160,000.00/yr - $220,000.00/yr Direct message the job poster from Storm2 Director at Storm2 | Connecting FinTech Talent

Sunnyvale, CA (Hybrid - 4 days in office) Our client is an innovative fintech company that’s about to close its

Series C round —making this a perfect time to join as they accelerate global growth. They specialize in building secure, scalable infrastructure that bridges

telecom and financial services , enabling

cross-border payments, fraud prevention, and digital commerce

on a global scale. As a Senior Data Scientist, you’ll own end-to-end ML development and deployment across fraud detection, cross-border ad targeting, and payments intelligence. This is a hands-on, high-impact role where you’ll help shape the data and analytics foundation that powers growth, customer trust, and revenue acceleration. What You’ll Do Architect Scalable Data Systems

– Own the design of high-volume data models, pipelines, and quality checks to support fraud, ads, and payments use cases. Develop Predictive Analytics & ML Models

– Go beyond statistics to build models that anticipate outcomes (fraud detection, behavioral scoring, user conversion, merchant clustering). Lead MLOps & Real-Time Monitoring

– Deploy models into production with CI/CD, manage retraining, and set up streaming pipelines for low-latency insights. Drive Real-Time Decisioning

– Apply frameworks like Kafka and Flink to enable fraud prevention and campaign optimization at scale. Embed Governance & Compliance

– Ensure privacy-by-design and compliance with global standards (GDPR, APPI, PII). Deliver Strategic Insights

– Partner with fraud ops, marketing, and product teams to turn complex data into clear actions and dashboards. What You Bring Strong background in

big data environments —comfortable working with large-scale, high-volume data Expertise in Python, SQL/MySQL, and ML frameworks (Scikit-learn, XGBoost, TensorFlow/PyTorch) Experience building

predictive models

and applying ML techniques in production Proficiency in MLOps tools (MLflow, SageMaker, Airflow) and AWS (S3, Redshift, Glue) Knowledge of data privacy and governance best practices BS in Computer Science, Statistics, Math, or Engineering (MS preferred) This is a

career-defining opportunity

to join a fintech innovator right as it closes a

Series C round —fueling global growth, investment in AI/ML for the first time, and the chance to shape a data-centric culture from the ground up. Please email me at katherine.farquharson@storm2.com to learn more Seniority level

Seniority level Mid-Senior level Employment type

Employment type Full-time Job function

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