Data Scientist
Snaphunt
Municipality of Madrid, Spain
5 days ago
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Experience level
SeniorJob location
Municipality of Madrid, Spain
Tech stack
Artificial Intelligence
Amazon Web Services (AWS)
Data analysis
Azure
Cloud Computing
Databases
Data Warehousing
Statistical Hypothesis Testing
Python
Machine Learning
TensorFlow
SQL Databases
Google Cloud Platform
PyTorch
Pandas
Scikit Learn
Information Technology
Data Management
Data Pipelines
Job description
- Analyse large and complex datasets to uncover trends, correlations, and actionable patterns.
- Develop and maintain dashboards, reports, and visualisations that provide stakeholders with clear, data-driven insights.
- Translate business problems into structured data questions and analytical approaches.
- Evaluate data quality and suggest improvements to ensure accuracy and reliability.
- Collaborate with product, engineering, and business teams to understand requirements and deliver relevant analyses.
- Conduct statistical analysis and build models to support forecasting, segmentation, or performance measurement.
- Test hypotheses and interpret results to inform strategic and operational decisions.
- Document analytical methods, assumptions, and findings for transparency and reproducibility.
Requirements
- You possess an advanced degree, ideally a PHD, in Mathematics, Statistics, Computer Science or a related field.
- You have at least 7 years of experience, ideally within a Data Scientist role.
- Strong expertise in Python, R, or similar languages, and data science libraries (e.g., Pandas, Scikit-learn, TensorFlow, PyTorch).
- Advanced knowledge of statistical modelling, predictive analytics, machine learning, and AI techniques.
- Experience working with large, complex datasets and building scalable data pipelines.
- Strong SQL and database skills, with experience in data warehousing or cloud-based data platforms (AWS, GCP, Azure).
- Proven experience deploying models into production and monitoring performance at scale.
What's on Offer?
- Flexible working options
- Opportunity to make a positive impact
- Great work environment