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1 день назад

Data Scientist (ML)

38 000 - 53 000
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
Spain
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

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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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