Data Scientist - Predictive Modeling & Generative AI

Collaborative Mind, LLC (\"CMIND\"); Madrid; On-site; EUR 55,000 - 90,000; Full time

Job summary

Collaborative Mind, LLC (CMIND) in Madrid is seeking a Data Scientist to build predictive models and explore generative AI applications. You will deliver data-driven solutions supporting operations and business needs, collaborating with QA, DT teams, and engineering.

The role requires strong Python/Spark skills, Databricks experience, and excellent communication for English documentation. Fluency in English is expected, with a focus on practical impact and scalable ML solutions.

Qualifications

• Master's degree or higher in a relevant field (CS/SE/DS).
• At least 3 years of experience in data science, ML, or AI roles.
• Proficient in Python and Spark with hands-on use of Pandas, Scikit-learn, PySpark and Spark MLlib.
• Experience with Databricks or similar platforms for ML experiments and LLM services.
• Strong statistical analysis, feature engineering, and prompt engineering.
• Experience with Python testing (PyTest/UnitTest) and SQL performance tuning.
• Experience with Web APIs, performance and security considerations, and English documentation.

Responsibilities

• Lead predictive modeling projects, data quality checks, EDA, rule engines, model training and optimization.
• Explore and apply generative AI technologies including multimodal models and LLMs for real-world problems.
• Design and implement data reporting solutions for operational and region-specific needs.
• Collaborate with QA, stakeholders, other DT teams and engineering for timely delivery.
• Document development processes and design decisions in English; maintain Git or ADO version control.

Skills

Python

Spark

Pandas

Scikit-learn

PySpark

Spark MLlib

SQL

Web APIs

Education

Master's degree or above in Computer Science, Software Engineering, Data Science, or related field

Tools

Databricks

Git

Azure Cloud

Job description

Job Title: Data Scientist - Predictive Modeling & Generative AI

Job Description

We are seeking a highly skilled and proactive Data Scientist to join our Data Science & Analytics team. This role focuses on building predictive models, exploring generative AI applications, and delivering data-driven solutions to support operational and business needs. The ideal candidate will have strong technical expertise, excellent communication skills, and a passion for innovation.

Responsibilities

• Lead and contribute to predictive modeling projects, including data quality verification, exploratory data analysis, rule engine development, ML model training, and performance optimization.
• Explore and apply generative AI technologies, including multimodal large models and large language models (LLMs), to solve real-world problems such as intelligent chatbots and image recognition.
• Design and implement data reporting solutions tailored to operational and region-specific business requirements.
• Collaborate cross-functionally with QA, business stakeholders, other DT teams, and engineering teams to ensure timely and high-quality delivery.
• Document development processes and design decisions in English and maintain version control using Git or ADO.

Experience / Qualifications

• Master's degree or above in Computer Science, Software Engineering, Data Science, or related field.
• Minimum 3 years of experience in data science, machine learning, or AI-related roles.
• Proficient in Python and Spark, with hands‑on experience in libraries such as Pandas, Scikit-learn, PySpark, and Spark MLlib.
• Experience with Databricks or similar platform for managing ML experiments, building LLM services, and performing model fine‑tuning.
• Solid understanding of statistical analysis, feature engineering, and prompt engineering.
• Familiar with Python unit testing frameworks such as Pytest and UnitTest.
• Strong SQL skills and understanding of database performance optimization.
• Experience with Web APIs, with attention to performance and security.
• Excellent communication skills and ability to write and read English technical documentation.
• Experience contributing to open-source projects or participating in community discussions is a plus.
• Knowledge of Azure Cloud is preferred.