Data Scientist — ES, Испания

About the Position

We are seeking a highly motivated Data Scientist to join our growing team and help deliver innovative machine learning and analytics solutions for complex business challenges. In this customer-facing role, you will work with large-scale datasets, develop advanced analytical models, and collaborate cross-functionally with product, engineering, and business stakeholders to drive measurable impact.

This role is ideal for a data scientist who enjoys combining advanced analytics, machine learning, and business problem-solving to create impactful, scalable solutions.

We only consider candidates who can legally work in EU immediately through their own status (including self-arranged Digital Nomad visas). No visa sponsorship or relocation support is offered.

Please explicitly detail your current legal status in EU and ability to relocate in your application.

Responsibilities

• Design and implement data science solutions throughout the project lifecycle.

• Analyze large and complex datasets to identify trends, anomalies, and actionable insights.

• Develop and optimize machine learning models and advanced analytics workflows.

• Perform feature engineering and data preparation for predictive modeling initiatives.

• Collaborate with Product, Engineering, and Customer Success teams to translate business requirements into technical solutions.

• Lead the data science aspects of customer implementations, pilots, and production deployments.

• Build strong technical relationships with customers and external partners.

• Provide recommendations to improve products, algorithms, and analytical capabilities.

• Deliver training and knowledge transfer to end users and stakeholders.

• Support investigation and resolution of data-related and analytical challenges.

Requirements

• High proficiency in English (both written and verbal)

• Bachelor's degree in Data Science, Computer Science, Mathematics, Statistics, Economics, or a related quantitative field.

• 2+ years of experience in Data Science, Data Engineering, Machine Learning, or Big Data development.

• Strong programming skills in Python and experience with PySpark.

• Hands-on experience working with large-scale data processing frameworks and machine learning pipelines.

• Experience with ML lifecycle and workflow management tools such as MLflow, Airflow, or similar platforms.

• Strong analytical, problem-solving, and statistical modeling skills.

• Ability to communicate complex technical concepts to both technical and non-technical audiences.

• Experience working directly with customers or external stakeholders is a plus.

Preferred Qualifications

• Experience in financial services, fraud detection, risk analytics, compliance, or transaction monitoring.

• Familiarity with cloud-based data and machine learning environments.

• Experience investigating anomalies and extracting insights from high-volume datasets.

• Knowledge of machine learning model deployment and monitoring best practices.

Technical Skills

• Python

• PySpark

• Apache Spark

• Machine Learning

• MLflow

• Airflow

• SQL

• Big Data Analytics

• Feature Engineering

• Statistical Analysis

We offer

• Competitive salary to be defined upon the interview results

• Full time REMOTE WORK