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2 дня назад

Senior Data Scientist (Fixed Term) - (Logistics, Workforce)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Germany
Релокация
Germany
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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TL;DR
Senior Data Scientist (Fixed Term) - (Logistics, Workforce) (Machine Learning/Logistics): Developing data science solutions to optimize on-demand last-mile delivery operations across large-scale courier and restaurant networks with an accent on machine learning, operations research, statistics, and forecasting. Focus on designing regression and classification models, automating model retraining and prediction generation, and processing large datasets with BigQuery and Spark.

Location: Berlin, Germany; hybrid work with attendance at the Berlin campus 2 days a week

Company

hirify.global operates a local delivery platform across around 65 countries, using technology to support food delivery, grocery, retail, and quick-commerce services.

What you will do

  • Conceptualize modeling approaches for large-scale logistics and workforce optimization challenges with squad leads and stakeholders.
  • Develop machine learning, operations research, and statistical solutions for last-mile delivery operations.
  • Engineer automated model retraining and prediction-generation workflows through pair programming.
  • Collaborate with data science colleagues to solve complex modeling problems.
  • Define data requirements and contribute to data engineering and technology roadmaps.
  • Process semi-structured and structured data using BigQuery and Spark.

Requirements

  • At least 5 years of experience applying machine learning methods to real-world datasets.
  • Fluency in Python and familiarity with NumPy, pandas, scikit-learn, Matplotlib, and Plotly.
  • Experience solving regression and classification problems using statistical, linear/non-linear, and ensemble models such as Random Forest, XGBoost, LightGBM, and CatBoost.
  • Experience with BigQuery or Spark and the ability to write SQL queries.
  • Ability to translate business problems into technical solutions and write maintainable, engineering-quality code.

Nice to have

  • Experience with time-series forecasting, operations research, and statistics.

Culture & Benefits

  • Hybrid working model with face-to-face collaboration at the Berlin campus.
  • 27 days of annual leave, increasing with service.
  • €1,000 educational budget, language courses, parental support, and access to Udemy Business.
  • Health checkups, meditation, gym access, and other wellness support.
  • Employee share purchase plan, pension plan, life and accident insurance, sabbatical bank, and public transportation discount.
  • Digital meal and food vouchers, with relocation information and support for moving to Berlin.

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