Description review
Lokker.com | Data Scientist, Classification and
Lokker.com · Remote · back to the listing
HR standards
59/100
needs work
Title ↔ description
82/100
solid
Reads as
Data Scientist
100% confident
What this role officially is
data scientist — ESCO, the EU occupation classification
Data scientists find and interpret rich data sources, manage large amounts of data, merge data sources, ensure consistency of data-sets, and create visualisations to aid in understanding data. They build mathematical models using data, present and communicate data insights and findings to specialists and scientists in their team and if required, to a non-expert audience, and recommend ways to apply the data.
Also known as: data scientists, data engineer, research data scientist, data expert, data research scientist
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What the listing never says
- No section describes what the person would actually do. Scope clarity
- No pay range published. Candidates cannot tell whether applying is worth their time. Pay transparency
The listing, marked up
Nothing in the wording of this listing tripped a check. The scores above still judge how complete and coherent it is.
Scoring| REMOTE: North America / Europe, UTC-8 to UTC+2 | Full-time
Lokker is a privacy platform. We continuously analyze 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, and we are hiring a data scientist to help us expand and improve the classification, scoring and risk intelligence built on it.
You will develop and improve models that classify digital activity, identify meaningful privacy and security behaviors, and assess the confidence and significance of findings.
Looking for 2 to 4 years of production experience in data science and machine learning. Strong Python and SQL, pandas or Polars, scikit-learn and modern classification techniques, familiarity with model evaluation and explainability. Practical experience in training and evaluating supervised classification models on real PRODUCTION data, practical LLM experience beyond simple demonstrations, and curiosity about how websites and internet technologies actually behave. You do not need a privacy or adtech background. We will teach the domain.
You will work closely with engineering, product and privacy experts, and what you build goes directly into the product.
IMPORTANT: the timezone range above is a hard requirement, not a preference. We cannot make an exception.
ON APPLICATIONS: we assume you used AI to help write it. So do we. What we cannot do is verify a claim that exists only in the document you sent us, so make sure the skills you claim are visible somewhere public: LinkedIn with real dates and role detail, GitHub, papers, Kaggle, a writeup, a talk. If your best work is under NDA, say so and describe it in your own words.
A human reads every application. No keyword filter, no automated rejection.
Apply: https://lokker.com/careers/openings/data-scientist-classification-and-scoring
Lokker is a privacy platform. We continuously analyze 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, and we are hiring a data scientist to help us expand and improve the classification, scoring and risk intelligence built on it.
You will develop and improve models that classify digital activity, identify meaningful privacy and security behaviors, and assess the confidence and significance of findings.
Looking for 2 to 4 years of production experience in data science and machine learning. Strong Python and SQL, pandas or Polars, scikit-learn and modern classification techniques, familiarity with model evaluation and explainability. Practical experience in training and evaluating supervised classification models on real PRODUCTION data, practical LLM experience beyond simple demonstrations, and curiosity about how websites and internet technologies actually behave. You do not need a privacy or adtech background. We will teach the domain.
You will work closely with engineering, product and privacy experts, and what you build goes directly into the product.
IMPORTANT: the timezone range above is a hard requirement, not a preference. We cannot make an exception.
ON APPLICATIONS: we assume you used AI to help write it. So do we. What we cannot do is verify a claim that exists only in the document you sent us, so make sure the skills you claim are visible somewhere public: LinkedIn with real dates and role detail, GitHub, papers, Kaggle, a writeup, a talk. If your best work is under NDA, say so and describe it in your own words.
A human reads every application. No keyword filter, no automated rejection.
Apply: https://lokker.com/careers/openings/data-scientist-classification-and-scoring