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