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Data scientist

location spain • working time Full-time • remote Hybrid

About the job

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.

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

  • 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.

Advantages

  • 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.

What we can offer

  • Additional 20 days of paid leave
  • Professional and career benefits
  • Top-quality work environment
  • Online courses
  • Online sports activities
  • Team Buildings and Christmas Parties
19 hours ago