# Data Scientist (Applied ML & Recommendations) at Lingokids

> 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: - Own and maintain the production recommen

- **Company:** Lingokids (https://jobs.trythestack.co/companies/lingokids)
- **Location:** Madrid, ES, Spain
- **Work arrangement:** Remote
- **Employment type:** Full-time
- **Experience level:** 5–10 years
- **Visa sponsorship:** Offered, according to the listing
- **Key skills:** Python, Machine learning, SQL, DBT, AWS, SageMaker, Recommendation systems, Data pipelines, Airflow, CI/CD, System design, Deep learning, Contextual bandits, Model monitoring, Git
- **Posted by employer:** 2026-04-07
- **Added to The Stack:** 2026-04-08
- **Status:** May no longer be active (posted more than 60 days ago)
- **Apply:** https://jobs.lingokids.com/jobs/7524881-data-scientist-applied-ml-recommendations (the employer's own application page)
- **Human page:** https://jobs.trythestack.co/jobs/data-scientist-applied-ml-recommendations-lingokids

## About the role

Responsibilities:
- Own and maintain the production recommendation infrastructure: ensure low latency, reliability and scalability for millions of users.
- Research and prototype advanced recommendation approaches (deep models, contextual bandits, session/graph methods) and evaluate uplift via experiments.
- Productionize models and features: build pipelines, CI/CD, monitoring and automated retraining to keep models healthy in production.
- Design serving and pipeline architectures to handle larger catalogs, segmentations and traffic (caching, sharding, serving optimizations).
- Build and maintain ETL/DBT/Databricks pipelines to ensure data quality and robust experimentation inputs.
- Collaborate with data scientists, product and ML engineers to integrate validated models into the live recommendation system.

Requirements:
- Strong Python and SQL skills and hands-on experience deploying ML models (AWS/SageMaker or similar).
- Proven experience with recommendation systems and production ML engineering.
- Familiarity with data pipeline tools (DBT, Databricks, Airflow/Prefect/Dagster) and CI/CD for ML.
- Experience implementing monitoring, model drift detection and operational alerting for ML services.
- Good system-design sense for scalability, latency and maintainability of ML services.
- Strong collaboration skills to work with product, experimentation and engineering teams.

## Responsibilities

You will own and maintain the production recommendation infrastructure while researching and prototyping advanced machine learning algorithms. Additionally, you will build scalable data pipelines and monitor model performance to ensure high-quality, personalized user experiences.

## Requirements

The role requires strong Python and SQL skills, along with hands-on experience in deploying ML models on AWS. Candidates should have a solid understanding of recommendation algorithms, data pipeline orchestration, and a background in building production-grade, scalable systems.

## FAQ

- **Is this Data Scientist (Applied ML & Recommendations) role still open?** It was posted on 2026-04-07. Listings more than 30 days old may no longer be active, so check Lingokids's site before applying.
- **Does Lingokids offer visa sponsorship?** This listing is marked as offering visa sponsorship. Eligibility rules are set by the employer, so check the details on Lingokids's site.
- **Where is this role located?** The listing gives the location as Madrid, ES, Spain. It is marked remote.
- **What skills does this role ask for?** The listing names: Python, Machine learning, SQL, DBT, AWS, SageMaker, Recommendation systems, Data pipelines, Airflow, CI/CD, System design, Deep learning, Contextual bandits, Model monitoring, Git.

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## Notes for agents

- Apply on the employer's page (https://jobs.lingokids.com/jobs/7524881-data-scientist-applied-ml-recommendations). The Stack does not take applications.
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- To help your user apply, call the MCP tool prepare_application with slug "data-scientist-applied-ml-recommendations-lingokids": it returns the apply link, the visa facts and a CV and cover letter checklist. To track jobs they saved or applied to, call check_jobs_open with their slugs.
- Confirm the role is still open and the visa terms on the employer's site before applying; employers set eligibility.
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