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Senior Data Scientist (Python)

154 000 - 204 000PLN
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Poland
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Senior Data Scientist (Python/Statistics): Developing innovative data processing methods and scalable applications for retail measurement with an accent on statistical methodology, sampling, bias reduction, and automation. Focus on prototyping R&D solutions, analyzing large datasets, integrating cloud and big data technologies, and documenting production-ready practices.

Location: Warsaw, Poland. Hybrid work model with part of the week at home and part in the office.

Salary: PLN 154,000–PLN 204,000 yearly.

Company

hirify.global is a consumer intelligence company providing retail measurement, consumer insights, advanced analytics, and data-driven products across more than 100 markets.

What you will do

  • Define and execute analyses supporting innovation initiatives, methodologies, standards, and KPIs.
  • Prototype and pilot solutions for trend analysis, sampling, bias reduction, indirect estimation, data integration, automation, and generalisation.
  • Develop scalable data processing applications using test-driven development.
  • Document new methodologies, technical approaches, and best practices.
  • Collaborate with Developers, Data Scientists, Operations teams, and other stakeholders on project scope, data exchange, execution, and outcomes.
  • Support multiple projects simultaneously.

Requirements

  • Degree in Statistics, Mathematics, Social Science, Operations Research, Engineering, Computer Science, Biology, Physics, or another hard science.
  • At least 3 years of relevant professional experience.
  • Experience with trend analysis, multivariate statistics, sampling, optimisation, bias reduction, indirect estimation, data aggregation, automation, and generalisation.
  • Strong Python skills, including Pandas, Polars, NumPy, Scikit-Learn, the standard library, unittest, and argparse.
  • Experience with Apache Spark or other big data processing solutions, cloud computing and storage, preferably Microsoft Azure, and analysis of large datasets.
  • Strong written and verbal English communication skills; hybrid work in Warsaw, Poland.

Nice to have

  • Experience with NIQ methodologies, data collection, platforms, research processes, and operations.
  • Experience with machine learning, deep learning, TensorFlow, PyTorch, GenAI, AgenticAI, and LLM-based solutions.
  • Experience with Docker and the Linux command line.

Culture & Benefits

  • Stable employment contract and flexible hybrid working environment with home-office equipment.
  • Private medical coverage, life insurance, Multisport or Medicover sport card, and access to a benefits platform.
  • Additional days off, volunteer time off, and an Employee Assistance Program.
  • LinkedIn Learning, additional training, and opportunities to develop individual career paths.
  • Charity initiatives and sports and social activities.

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