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3 дня назад

Machine Learning Scientist - Mid-Level (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR
Machine Learning Scientist - Mid-Level (AI) (Machine Learning/Marketing): Developing and deploying machine learning models for marketing problems across advertising, customer modeling, experimentation, revenue optimization, attribution, recommendations, and lifetime value with an accent on large-scale data analysis, model productionization, and marketing optimization. Focus on automating ETL pipelines, designing A/B tests, interpreting experimental results, and maintaining models that influence travel decisions for millions of users.

Location: London, United Kingdom; hybrid work arrangement

Company

hirify.global connects travelers with travel information, guidance, and marketplaces for experiences, accommodations, restaurants, and other travel categories.

What you will do

  • Apply machine learning models to core marketing problems, including advertising, customer modeling, recommendations, attribution, revenue optimization, and lifetime value.
  • Identify opportunities to use data science and machine learning across paid, organic, search, demand creation, affiliate, and CRM channels.
  • Automate ETL pipelines and discover new ways to analyze and interpret data.
  • Prototype, evaluate, deploy, and maintain machine learning models in production.
  • Design A/B tests, analyze results, and communicate experimental findings to technical and business stakeholders.
  • Collaborate with data scientists, analysts, software engineers, and product managers while taking ownership of projects.

Requirements

  • Master’s or PhD in Computer Science, Engineering, Statistics, or a related field; alternatively, a master’s degree with 2+ years of practical experience.
  • Strong background in machine learning and statistics, with knowledge of A/B test design and analysis.
  • Proficiency in Python for numerical and statistical programming, including NumPy, Pandas, and Scikit-learn.
  • Ability to interpret and write complex SQL queries.
  • Experience with big data technologies such as Hive and Spark.
  • Experience leading the deployment and maintenance of machine learning models, with strong communication and collaboration skills.

Culture & Benefits

  • Access to modern development tools and large datasets.
  • Opportunities to deploy solutions online and observe their impact in real time.
  • Personal development support through social activities, journal clubs, online learning resources, and industry conferences.
  • Inclusive and accessible recruiting experience with reasonable accommodations available upon request.

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