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Remote Data Scientist: Recommendation Engine & Ml Modeling

Tecdata Engineering
Madrid, Spain
4 days ago
Apply on www.buscojobs.com.es
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source
www.buscojobs.com.es

Tech stack

Artificial Intelligence Python (Programming Language) SQL Databases K Means Databricks

Job description

TECDATA ENGINEERING busca un perfil senior para colaborar con CRM y Data & AI, desarrollando un motor de recomendación de productos de protección.Deberá clusterizar datos, contrastar resultados con negocio y proponer reglas para mejorar la solución.Se requiere Graduado en Matemáticas, Física, Estadística o Ingeniería, 3+ años en modelos/ pricing o CRM, experiencia en SQL, Python y Databricks, y manejo de modelos supervisados (KNN, K-means).Modalidad: remoto 100%.#J-*****-Ljbffr

Requirements

Deberá clusterizar datos, contrastar resultados con negocio y proponer reglas para mejorar la solución.Se requiere Graduado en Matemáticas, Física, Estadística o Ingeniería, 3+ años en modelos/ pricing o CRM, experiencia en SQL, Python y Databricks, y manejo de modelos supervisados (KNN, K-means).

Benefits & conditions

Modalidad: remoto 100%.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.buscojobs.com.es
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

Moments

Explore playlists

1:37 min

Designing a real-time price recommendation system for vehicles

Bobur Umurzokov · LIVE

1:14 min

Evolution of distributed SQL database architectures

Wei Hu Wei Hu · World Congress 2024

5:14 min

Executing Databricks jobs with built-in Airflow operators

Alan Mazankiewicz · LIVE

3:50 min

Applying K-means clustering to group massive datasets

Michal Bojko Michal Bojko · World Congress 2025

3:04 min

Pre-built algorithms and further learning resources

Ayon Roy · LIVE

1:36 min

Evolution from key-value stores to distributed SQL

Wei Hu Wei Hu · World Congress 2025

Videos

See all
Data Science in Retail thumbnail
58:21
LIVE • over 3 years ago

Data Science in Retail

Julian Joseph

Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases thumbnail
32:46
World Congress 2024 • about 2 years ago

Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases

Wei Hu

Fully Orchestrating Databricks from Airflow thumbnail
39:14
LIVE • almost 5 years ago

Fully Orchestrating Databricks from Airflow

Alan Mazankiewicz

Logs in observability - Correlation thumbnail
23:09
World Congress 2025 • about 1 year ago

Logs in observability - Correlation

Michal Bojko

Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source thumbnail
29:50
World Congress 2026 Europe • 3 months ago

Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source

Viktoria Semaan

How We Built a Machine Learning-Based Recommendation System (And Survived to Tell the Tale) thumbnail
27:23
World Congress 2023 • almost 3 years ago

How We Built a Machine Learning-Based Recommendation System (And Survived to Tell the Tale)

Dora Petrella

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