Senior Data Science Engineer

At LegitScript , we are passionate about making the internet and payment ecosystems safer and more transparent. We help companies of all sizes keep their services legal and safe for consumers. To do this, LegitScript combines big data with the world’s leading team of experts skilled in highly regulated and complex sectors, including transaction laundering detection, pharmaceuticals, online gambling, and more. The result? Unmatched accuracy and deep risk analysis that identifies which commercial entities play by the rules, and which do not. Our diverse industry partnerships provide unique insights that keep businesses and governments at the forefront of emerging trends. That’s why LegitScript is trusted by the world's largest search engines, internet platforms, payment companies, and regulatory agencies. Overview: You'll own the full lifecycle — from raw data ingestion to model deployment to measuring real-world business impact — with a current focus on building a sophisticated risk detection system using LLMs, Generative AI techniques, and classical ML within our SaaS platform. This is not a pure engineering role or a pure research role. You'll need both, and you'll need to move fluidly between them. What You'll Do: Data Science & Applied ML Research, prototype, and develop ML and LLM-based models to solve complex business problems, with a current focus on risk detection and prioritization Wrap models into production-ready APIs and integrate them into our core product Ensure model outputs are interpretable — translating predictions into actionable reason codes for end users Partner directly with operational teams to gather feedback, refine features, and improve model relevance over time Data Engineering Design, build, and maintain scalable pipelines to ingest data from disparate sources into our data warehouse/lake Implement robust data validation, quality checks, and transformation workflows across raw, curated, and serving layers Build and maintain curated dataset