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5 дней назад

Senior Data Scientist

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

Текст:
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TL;DR
Senior Data Scientist (Statistics/Retail Measurement): Developing innovative data processing methods and automating statistical procedures for retail measurement with an accent on sampling, bias reduction, indirect estimation, and data integration. Focus on prototyping R&D solutions, building scalable test-driven data processing applications, and documenting methodologies for operational use.

Location: Warsaw, Poland

Salary: PLN 154,000–204,000 per year

Company

hirify.global is a consumer intelligence and retail measurement company delivering analytics and data products across global markets.

What you will do

  • Define and execute analyses supporting innovation initiatives, methodologies, standards, and KPIs.
  • Prototype R&D solutions and support 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.
  • Manage multiple projects and contribute to scope, data exchange, execution, and outcome discussions.

Requirements

  • Bachelor’s, master’s, or PhD degree in statistics, mathematics, social science, operations research, engineering, computer science, biology, physics, or another hard-science field.
  • 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 analytical and technical skills.
  • Ability to create clear and compelling data visualizations.

Culture & Benefits

  • Flexible working environment.
  • Volunteer time off.
  • Access to LinkedIn Learning.
  • Employee Assistance Program.
  • AI tools may be used during recruitment, with human oversight and final hiring decisions made by people.

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