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Data Scientist | Machine Learning & Google Cloud Platform (GCP)

Hybrid in Madrid·Added 2 days ago (last checked 28 Oct)

Tecdata Engineering

1614 open roles

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Our summary

Work mode: Hybrid, Madrid

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Skills

This job advert was originally written in Spanish.

Requirements

What we're looking for

Demonstrable experience as a Data Scientist in Machine Learning and advanced analytics projects.
Experience in the design and training of forecasting models.
Experience developing propensity models.
Knowledge of optimization algorithms and linear programming.
Advanced mastery of Python for model development, automation, and data processing.
Expert level of SQL for extraction, transformation, and manipulation of large volumes of information.
Hands-on experience with Google Cloud Platform (GCP).
Experience working with
- BigQuery: large-scale data querying and processing.
- Apache Airflow: workflow orchestration and automation.
- Vertex AI: training, deployment, and management of Machine Learning models.
- Apache Spark: distributed data processing.
Experience developing and maintaining algorithms in production environments.
Ability to diagnose and resolve technical incidents in production.

Nice to have

Experience processing massive volumes of data, involving billions of records.
Knowledge of MLOps and model lifecycle automation.
Experience optimizing data pipelines and training processes.
Ability to work autonomously, identify problems, and propose efficient technical solutions.

The role

At Tecdata Engineering, we are looking for a Data Scientist specialized in Machine Learning and predictive modeling to participate in the development and production deployment of advanced analytical solutions within the Google Cloud Platform (GCP) ecosystem.

We are looking for a profile with solid knowledge of Python, SQL, and Machine Learning, experience working with large volumes of data, and the ability to develop scalable, efficient, and production-oriented models.

What you'll do

Design, develop, and train advanced Machine Learning models, especially forecasting and prediction models.
Develop propensity models to analyze and anticipate user behavior.
Design and implement optimization algorithms based on linear programming techniques.
Perform ingestion, cleaning, transformation, and preparation processes for large volumes of data, including scenarios involving billions of records.
Develop and optimize data pipelines and analytical models using Google Cloud Platform.
Work with BigQuery for large-scale data extraction, transformation, and analysis.
Orchestrate workflows and training processes using Apache Airflow.
Deploy and manage Machine Learning models in production using Vertex AI.
Use Apache Spark for distributed data processing when necessary.
Develop robust, scalable, and production-ready algorithms, minimizing the differences between development and production environments.
Automate analytical processes and optimize the performance of implemented models and solutions.
Attend to and resolve 3N level incidents related to the deployed production projects under your responsibility.

Hiring process

If you have experience in Data Science, Machine Learning, and Google Cloud Platform, and you are motivated to develop high-impact, production-ready predictive models, we want to meet you!

Send us your CV and we will evaluate your fit for the project.

About Tecdata Engineering

Tecdata Engineering (TECDATA ENGINEERING) is a technology consulting and services provider specialized in global technology projects, with a portfolio covering custom software development, legacy modernization, managed services, cloud infrastructure, Salesforce, cybersecurity (including SOC, pentesting and NIS2 compliance), and data & AI services, alongside IT talent services such as headhunting and staff augmentation. The company reports being founded in 2012 with around 500 employees ("Compañeros 500") and 5M in billing, and forms part of a broader technology consulting group with more than 550 consultants across 5 countries. It states it is present in major economic sectors including banking, telecommunications, and insurance.

In Spain, Tecdata Engineering hires across multiple locations including Madrid, Barcelona, and Bilbao, with a significant share of openings marked "Completamente remoto" (fully remote) or hybrid. Its careers portal organizes vacancies into departments such as Desarrollo y QA, Ciberseguridad, Cloud, DevOps, Sistemas y Producción, Gestión de Proyectos, Comercial, and RRHH, and current openings range from COBOL and mainframe-adjacent banking roles to data engineering, Salesforce, SAP, cybersecurity, and air traffic management QA. For international professionals considering a move to Spain, the volume of remote-eligible roles across the country is notable, though the company's careers and website content is published in Spanish.

Industry: IT Services
Founded: 2012
Employees: 500

Good to know if you are moving

Many openings are advertised as fully remote within Spain, e.g. "Senior Data Scientist – GCP Madrid · Completamente remoto" and "ML ENGINEER Madrid · Completamente remoto".
Hiring activity in Spain includes Madrid, Barcelona, and Bilbao, with hybrid and on-site arrangements depending on the role.
The company reports around 500 employees ("Compañeros 500") and was founded in 2012.
It is part of a technology consulting group with more than 550 consultants operating in 5 countries.
Its client sectors include banking, telecommunications, and insurance, so many roles involve regulated, enterprise-grade environments.

All open roles at Tecdata Engineering