Data Scientist, Classification and Scoring
Lokker.com • Competitive / DOE
Data Scientist, Classification and Scoring
> ROLE OVERVIEW
Help build the models that turn complex web and application activity into accurate, explainable privacy and security intelligence. Lokker helps organizations understand and control how data is collected and shared across their digital properties. 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.
> CORE RESPONSIBILITIES
- 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.
- Build features and signals from large-scale behavioral and network data, improve training data, labeling, evaluation, and model quality, and develop confidence and risk-scoring approaches that support product decisions.
> HARD REQUIREMENTS & SPECS
- 2–4 years of production experience in data science, machine learning, or data engineering
- Strong Python and SQL
- Experience with pandas or Polars, scikit-learn, and modern classification techniques
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