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2 дня назад

Data Scientist (Maps)

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

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TL;DR

Data Scientist (Maps): Designing and implementing predictive models and statistical analyses for large-scale spatio-temporal datasets with an accent on uncovering patterns and trends in location data. Focus on productizing models into scalable pipelines and APIs to power customer-facing applications.

Location: Hybrid (Lodz, Poland). Office attendance required 2 days a week

Company

hirify.global is a global location technology company creating real-time, accurate, and detailed maps for hundreds of millions of users worldwide.

What you will do

  • Design and implement predictive models and statistical analyses for large-scale spatio-temporal datasets.
  • Collaborate with cross-functional teams to formulate data-driven solutions for business challenges.
  • Partner with Software Engineers and UX designers to integrate models into scalable pipelines and APIs.
  • Process and analyze massive volumes of location data using big data technologies and distributed computing frameworks.
  • Communicate complex technical insights to both technical and non-technical stakeholders.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Mathematics, Statistics, or a related field.
  • 5+ years of experience as a Data Scientist, preferably within a product-focused software company.
  • Strong expertise in Python and SQL.
  • Experience with ML libraries and frameworks such as TensorFlow, PyTorch, or scikit-learn.
  • Familiarity with Azure technologies, specifically Databricks and Power BI.
  • Proven ability to lead projects and mentor junior team members.

Nice to have

  • Proficiency in Java.

Culture & Benefits

  • Flexible hybrid work model (2 days in office, 3 days remote).
  • Personal development budget and paid leave for learning days with access to O’Reilly and LinkedIn Learning.
  • Enhanced parental leave and paid time off for volunteering.
  • Home office setup budget and monthly allowance.
  • Limited flexibility to work from home country or abroad for a set number of days per year.
  • Competitive holiday plan, including an extra day off for your birthday.

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