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# Data Scientist

- **Company:** SARDINE, INC.
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Python (Programming Language), Machine Learning, SQL Databases, Tableau (Software), Apache Spark, Build Management, Data Analytics
- **Published:** September 4, 2026
- **Apply:** https://startup.jobs/senior-data-scientist-sardine-7219065

## About the Role

* 7+ years of experience in data science, quantitative modeling, or a data-focused role (product analytics, business analytics) with demonstrated high impact in fraud or risk contexts
 * Strong hands-on experience with Python/R and SQL is essential, with Spark being a nice to have
 * Expertise in BI tools such as Tableau, Sigma, or Metabase
 * Proven ability to structure and analyze complex data using techniques like EDA and cohort analysis, and communicate findings effectively to both technical and non-technical audiences, including clients
 * Sharp critical thinking and creative problem-solving skills with a bias toward action
 * Proficiency in defining, tracking, and communicating performance metrics

## Description

We're looking for a data-driven professional to help us measure, understand, and improve the performance of our risk strategies - and to stay ahead of evolving fraud threats by designing and deploying data-driven solutions with real-world impact. You'll work directly with clients to understand their unique fraud challenges, rapidly prototype proof-of-concept models, and build scalable, production-ready solutions using machine learning and graph analytics. You'll also analyze complex datasets, design metrics, build dashboards, and collaborate closely with stakeholders across the business to drive decision-making and optimize outcomes.
This is a hands-on, high-impact role ideal for someone who thrives at the intersection of data science, client-facing problem solving, and real-time risk.

What you'll be doing

 * Champion a data-first approach across internal teams and client engagements, promoting clarity and impact
 * Build and deploy machine learning models to prevent fraud across diverse fintech use cases, from proof-of-concept through to production
 * Develop and track metrics to measure and monitor the performance of our risk products and the effectiveness of risk management strategies
 * Conduct in-depth analyses to uncover insights contributing to fraud reduction and higher approval rates for our clients
 * Work directly with clients to understand their fraud challenges and translate complex data insights into clear, actionable recommendations
 * Use data and models to support the development of risk mitigation strategies and interventions while preserving and improving the user experience
 * Create and automate self-serve dashboards leveraging BI tools
 * Collaborate with engineering to scale models into production, optimize performance, and support data instrumentation
 * Partner with cross-functional teams (Business, Product, and Engineering) to translate business requirements into data-driven solutions


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