Data Scientist (Applied ML & Recommendations) at Lingokids

✨ The Stack take on this Lingokids job

• 🏢 Lingokids has 9 jobs here, 9 with visa sponsorship see all
• 🛂 Visa: Highly Qualified Professional permit. Education: Higher education degree guide
• 💡 No salary shown. Ask Lingokids if it is above the minimum.

Updated 2026-11-05, from our data and official sources.

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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.

Key skills

• Python — in 1200 other listings on The Stack
• Machine learning — in 291 other listings on The Stack
• SQL — in 545 other listings on The Stack
• DBT — in 102 other listings on The Stack
• AWS — in 802 other listings on The Stack
• SageMaker — in 4 other listings on The Stack
• Recommendation systems — in 16 other listings on The Stack
• Data pipelines — in 113 other listings on The Stack
• Airflow
• CI/CD
• System design
• Deep learning
• Contextual bandits
• Model monitoring
• Git

On The Stack (as of 2026-11-05)

• Lingokids has 8 other listings on The Stack, 8 of them marked as offering visa sponsorship.
• 76 visa-sponsored jobs in Spain on The Stack, posted in the last 60 days.
• 68 visa-sponsored data scientist jobs in Europe on The Stack, posted in the last 60 days.

Frequently asked questions about Lingokids

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.