обновлено 3 дня назад
Senior Data Scientist (Python)
154 000 - 204 000PLN
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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