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3 дня назад

Senior Data Scientist (Retail Analytics)

154 000 - 204 000PLN
Формат работы
onsite
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

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TL;DR
Senior Data Scientist (Retail Analytics): Developing innovative data processing methods and automated statistical procedures for retail measurement with an accent on sampling, bias reduction, data integration, and generalization. Focus on prototyping R&D solutions, building scalable test-driven data processing applications, and validating methodologies across multiple projects.

Location: Warsaw, Poland

Salary: PLN 154,000–PLN 204,000 per year

Company

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

What you will do

  • Define and execute analyses supporting innovation initiatives, methodologies, standards, and KPIs.
  • Prototype solutions and support R&D pilot programs involving trend analysis, sampling, bias reduction, indirect estimation, data integration, automation, and generalization.
  • Develop scalable data processing applications using test-driven development.
  • Document new methodologies and best practices.
  • Collaborate with Developers, Data Scientists, Operations teams, and project stakeholders on scope, data exchange, execution, and outcomes.
  • Contribute to multiple projects simultaneously.

Requirements

  • Proficiency in Python, including Pandas, Polars, NumPy, and Scikit-Learn.
  • Familiarity with the Python standard library, especially unittest and argparse.
  • Bachelor’s, Master’s, or PhD degree in Statistics, Mathematics, Social Science, Operations Research, Engineering, Computer Science, Biology, Physics, or another hard-science discipline.
  • At least 3 years of relevant work experience.
  • Experience with trend analysis, multivariate statistics, sampling, optimization, bias reduction, indirect estimation, data aggregation, automation, and generalization.
  • Strong data visualization skills and the ability to create clear charts and graphs.

Culture & Benefits

  • Flexible working environment.
  • Volunteer time off.
  • LinkedIn Learning access.
  • Employee Assistance Program.
  • AI tools may support recruitment activities, with human oversight and final hiring decisions made by people.

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