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11 дней назад

Senior Data Scientist (Maternity Cover) - (Logistics, Workforce)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Germany
Релокация
Germany
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Senior Data Scientist (Maternity Cover) - (Logistics, Workforce) (Machine Learning/Logistics): Building models and automated prediction and retraining solutions to optimize large-scale last-mile delivery operations with an accent on machine learning, operations research, statistics, and big data processing. Focus on designing regression and classification models, forecasting delivery operations, and engineering maintainable solutions with Python, BigQuery, Spark, and SQL.

Location: Berlin, Germany; hybrid working model with face-to-face collaboration at the Berlin campus 2 days per 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

  • Develop modeling approaches for large-scale logistics and workforce optimization challenges.
  • Create machine learning, operations research, and statistical solutions that improve last-mile delivery operations.
  • Pair-program with the squad to automate model retraining and prediction generation.
  • Collaborate with data scientists, squad leadership, stakeholders, data engineering, and technology teams.
  • Define data needs and contribute to data and technology roadmap planning.
  • Process semi-structured data from the BigQuery data warehouse using Spark where necessary.

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 translating business problems into technical solutions.
  • Experience with regression and classification using statistical, linear and nonlinear, and ensemble models such as Random Forest, XGBoost, LightGBM, and CatBoost.
  • Knowledge of BigQuery, Spark, and SQL for working with large datasets.
  • Ability to write maintainable code following software engineering best practices.

Nice to have

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

Culture & Benefits

  • 27 days of annual leave, increasing with length of service.
  • €1,000 educational budget, language courses, parental support, and access to Udemy Business.
  • Health checkups, meditation, and gym benefits.
  • Employee share purchase plan, sabbatical bank, public transportation discount, life and accident insurance, and corporate pension plan.
  • Digital meal and food vouchers.
  • Relocation support and information for moving to Berlin.

Hiring process

  • Interview preparation resources and an interview process managed through the company's hiring process.
  • Accessibility accommodations are available during interviews upon request.

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