Data Scientist, Classification and Scoring

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Description

About Lokker Lokker helps organizations understand and control how data is collected and shared across their digital properties. Our platform continuously analyzes websites, applications, third-party technologies, and data flows to identify privacy, security, and consent risks in production. We have built a large proprietary dataset from years of observing real-world digital behavior. We are hiring a data scientist to help turn that data into increasingly accurate classification, scoring, and risk intelligence. The Role You will develop and improve models that classify digital activity, identify meaningful privacy and security behaviors, and assess the confidence and significance of findings. Explainability matters. Our findings are used by privacy teams, engineers, lawyers, and insurers, so models need to produce outputs that are both accurate and understandable. This is primarily a structured-data machine learning problem, with opportunities to use LLMs and other techniques where they add meaningful value. What You'll Work On Develop and improve production classification models Build features and signals from large-scale behavioral and network data Improve training data, labeling, evaluation, and model quality Develop confidence and risk-scoring approaches that support product decisions Produce explainable outputs that help users understand why a finding matters Build evaluation, regression, and monitoring systems to maintain model quality over time Explore new approaches f

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