Назад
Company hidden
3 дня назад

Senior Data Scientist

50 000 - 63 000
Тип работы
fulltime
Грейд
senior
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

Senior Data Scientist (Applied Science): Propose and develop high-impact data science projects for vehicle management, user experience, pricing, fraud detection, and marketing optimization with an accent on statistical and machine learning models. Focus on designing, training, validating models, deploying to production, and analyzing real-life experiments to drive business insights.

Office located in Madrid, flexible work environment & hours

50K - 63K€

Company

Tech company improving urban mobility by connecting riders and drivers in over 40 cities worldwide.

What you will do

  • Propose and develop high-impact data science projects with data, engineering, product, and business teams.
  • Design, train, validate, and deploy statistical and machine learning models into production.
  • Define and analyze real-life experiments using scientific methods to measure product feature impact.
  • Convert team work into business insights and participate in research and innovation.
  • Diffuse complex ideas to stakeholders and contribute to product development with data science perspective.
  • Act as technical reference, fostering growth and best practices.

Requirements

  • At least 5 years professional experience as data scientist or equivalent research role.
  • Master/PhD in Computer Science, Physics, Engineering, Mathematics, Economics, etc.
  • Experience leading design, training, and validation of statistical and machine learning models.
  • Strong Python knowledge for data analysis and visualization.
  • Data extraction/processing with complex SQL.
  • Experience deploying ML to production including model degradation and serving.
  • Ability to work autonomously in unstructured environment.

Nice to have

  • Strong Probability & Statistics background.
  • Scientific experimentation experience (design, sampling, significance analysis).
  • Peer-reviewed publications.
  • State-of-the-art methods in deep learning, time series, Bayesian statistics, causal inference.
  • Geo data modeling, analysis, visualization.

Culture & Benefits

  • Recharge days (10 Free Fridays annually).
  • Flexible hours and work environment.
  • Regular team events and hirify.global staff free rides.
  • Personal development programs and Coursera license.
  • iFeel therapy sessions and flexible compensation (restaurant/transport tickets, healthcare, childcare).
  • Pet room, free coffee and fruit.

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