Senior Data Scientist — Remote ML & Analytics Leader

Mimacom; Oña; Presencial; EUR 55.000 - 75.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Holidays: 30 days

Remote work in Spain

Career growth plan

OS flexibility: Mac/Windows

Team events

Descripción de la vacante

Mimacom is seeking a Senior Data Scientist to drive advanced analytics and ML solutions across the full data lifecycle. You will partner with business and technical stakeholders to translate insights into measurable value, focusing on traditional ML rather than generative AI.

The role emphasizes end-to-end model development, deployment, monitoring, and explainability, with strong collaboration and communication skills required.

Formación

• Strong experience in Machine Learning and statistical modelling.
• Proven expertise in forecasting, optimisation, clustering, regression, and recommendation systems.
• Strong programming skills in Python, PySpark, and SQL.

Responsabilidades

• Design, develop, and deploy end-to-end Machine Learning and Advanced Analytics solutions.
• Explore, prepare, and analyse large-scale datasets to uncover insights and business opportunities.
• Build and optimize models including forecasting, optimisation, clustering, regression, and recommendation solutions.
• Design and implement scalable ML pipelines, including deployment, monitoring, and performance tracking in production environments.
• Evaluate model performance through robust validation, testing, explainability, and model selection techniques.
• Collaborate closely with business stakeholders to ensure analytical solutions address real-world challenges and deliver measurable value.

Conocimientos

Machine Learning

Forecasting

Clustering

Regression

Recommendation

Python

PySpark

SQL

Explainability

Herramientas

Databricks

Descripción del empleo

Mimacom is seeking a Senior Data Scientist to drive advanced analytics and ML solutions across the full data lifecycle. You will partner with business and technical stakeholders to translate insights into measurable value, focusing on traditional ML rather than generative AI.

The role emphasizes end-to-end model development, deployment, monitoring, and explainability, with strong collaboration and communication skills required.