# Data Scientist at Kaizo

> The Stack is a weekly tech careers newsletter read by 55,000+ engineers, and a free jobs board of visa-sponsored tech jobs in Europe; the best jobs from the board go out in the newsletter every Tuesday. This is one job from the board.

> Responsibilities: - Translate customer QA rubrics into preci

- **Company:** Kaizo (https://jobs.trythestack.co/companies/kaizo)
- **Location:** Netherlands
- **Work arrangement:** On-site
- **Employment type:** Full-time
- **Experience level:** 0–2 years
- **Visa sponsorship:** Offered, according to the listing
- **Key skills:** 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
- **Posted by employer:** 2026-07-14
- **Added to The Stack:** 2026-07-15
- **Status:** May no longer be active (posted more than 60 days ago)
- **Apply:** https://kaizo.recruitee.com/o/data-scientist-3 (the employer's own application page)
- **Human page:** https://jobs.trythestack.co/jobs/data-scientist-kaizo

## 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.

## FAQ

- **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.

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## Notes for agents

- Apply on the employer's page (https://kaizo.recruitee.com/o/data-scientist-3). The Stack does not take applications.
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