Data Scientist (ML)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Data Scientist (ML): Developing high-impact machine learning and statistical models to optimize urban mobility services with an accent on vehicle management, pricing, and fraud detection. Focus on designing production-ready models, analyzing real-life experiments, and converting technical data into business insights.
Location: Office located in Madrid
Salary: 38K - 53K€
Company
A mobility platform aiming to improve urban living by connecting riders and drivers and reducing the need for private cars.
What you will do
- Develop high-impact data science projects in close collaboration with engineering, product, and business teams.
- Design, train, and validate statistical and machine learning models for production deployment.
- Analyze results of real-life experiments using academic-standard scientific methods.
- Convert technical knowledge into tangible business insights that deliver value to the company.
- Contribute to product development conversations by providing a data science perspective on new features.
Requirements
- At least 3 years of professional experience as a data scientist or in an equivalent research role.
- Master's degree in Computer Science, Physics, Engineering, Mathematics, Economics, or a related field.
- Solid foundations in Probability & Statistics.
- Proficiency in Python for data analysis and data visualization.
- Ability to write complex SQL code for data extraction and processing.
- Ability to work autonomously within an unstructured environment.
Nice to have
- Experience deploying machine learning models to production, including monitoring and serving.
- Knowledge of deep learning, time series analysis, Bayesian statistics, or causal inference.
- Experience with geo data modeling, analysis, and visualization.
Culture & Benefits
- Competitive salary and flexible compensation plan (restaurant, transport, healthcare, and childcare tickets).
- 10 free Fridays ("Recharge days") annually.
- Flexible work environment and hours.
- Professional development via career paths and a personal Coursera license.
- Emotional well-being support through the iFeel therapy platform.
- Office perks including a pet room, free coffee, and fruit.
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