Data Scientist at Kaizo
May no longer be active — verify on the employer site
At a glance
- Company
- Kaizo
- Location
- Netherlands
- Work arrangement
- On-site
- Employment type
- Full-time
- Experience
- 0–2 years
- Working hours
- 40 hours
- Visa sponsorship
- Offered, according to the listing
- Posted
- Added to The Stack
✨ The Stack take on this Kaizo job
- 🏢 This is Kaizo's only job here right now
- 🛂 Visa: Highly Skilled Migrant permit. 30 or older: €5,942 a month guide
- 💡 No salary shown. Ask Kaizo if it is above the minimum.
Updated 2026-11-05, from our data and official sources.
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About the role
Responsibilities:
- Translate customer QA rubrics into precise, testable instructions for LLM-based AutoQA systems.
- Design and run experiments on large, representative datasets to measure and improve model accuracy (LangSmith, BigQuery).
- Curate and build golden datasets and synthetic examples to cover rare but important cases and imbalanced labels.
- Implement LLM-as-a-judge pipelines to produce repeatable, auditable evaluation metrics and enable model-driven decisions.
- Work with AI engineers to turn experiment results into product changes (prompts, tool usage, retrieval improvements) and validate end-to-end quality.
- Join customer calls to understand quality definitions and communicate results to technical and non-technical stakeholders.
Requirements:
- 0–2 years experience; strong fundamentals in LLMs, applied statistics, and experimental design.
- Proficient in Python and SQL; experience with data tooling (Pandas, NumPy) and BigQuery preferred.
- Experience with evaluation methodologies: classifier metrics, precision/recall trade-offs, sampling for rare events.
- Familiarity with LLM Ops tooling (e.g., LangSmith), RAG components, and synthetic data generation is strongly valued.
- Strong analytical thinking, clear written/verbal communication, and the ability to work closely with customers and engineering teams.
Responsibilities
Own the evaluation and quality loop of the AutoQA product by translating customer rubrics into testable LLM instructions. Design and execute experiments to improve accuracy and build internal LLM-as-a-judge pipelines for repeatable assessment.
Requirements
Requires 0-2 years of experience with a strong understanding of LLMs, applied statistics, and Python. Candidates should possess an analytical mindset and the ability to communicate findings to both technical teams and customers.
Key skills
- LLM Prompting — in 1 other listing on The Stack
- Applied Statistics — in 2 other listings on The Stack
- Python — in 1200 other listings on The Stack
- Pandas — in 35 other listings on The Stack
- NumPy — in 26 other listings on The Stack
- SQL — in 545 other listings on The Stack
- Experiment Design — in 8 other listings on The Stack
- Classifier Evaluation — not in any other listing on The Stack
- Precision/Recall Trade-offs
- LangSmith
- BigQuery
- RAG
- Synthetic Data Generation
- LLM-as-a-judge
- Data Analysis
- Communication
On The Stack (as of 2026-11-05)
Frequently asked questions about Kaizo
Is this Data Scientist role still open?
It was posted on 2026-07-14. Listings more than 30 days old may no longer be active, so check Kaizo's site before applying.
Does Kaizo offer visa sponsorship?
This listing is marked as offering visa sponsorship. Eligibility rules are set by the employer, so check the details on Kaizo's site.
Where is this role located?
The listing gives the location as Netherlands. It is marked on-site.
What skills does this role ask for?
The listing names: LLM Prompting, Applied Statistics, Python, Pandas, NumPy, SQL, Experiment Design, Classifier Evaluation, Precision/Recall Trade-offs, LangSmith, BigQuery, RAG, Synthetic Data Generation, LLM-as-a-judge, Data Analysis, Communication.