Senior Data Scientist - Retail Analytics & Innovation

NielsenIQ; Warszawa; Hybrid; PLN 154,000 - 204,000; Full time

Benefits offered by this job

Flexible working environment

Volunteer time off

Job summary

NielsenIQ in Warszawa, Poland is seeking a Senior Data Scientist within the Data Science Methods team to help define and support the development of new products and methods, and to advance data processing innovations for retail measurement and automation of statistical procedures.

You will prototype solutions, carry out trend analyses, bias reduction, indirect estimation, data integration, automation, and test-driven development of scalable applications, delivering documentation and

Qualifications

• A Master’s/PhD in statistics or related hard science with outstanding analytical expertise and strong technical skills.
• At least 3 years of relevant work experience.
• Experience in trend analyses, multivariate statistics (parametric/non-parametric), sampling, optimization, bias reduction, indirect estimation, data aggregation techniques, automation, and generalization.
• Good data visualization skills and ability to create clear charts and graphs.

Responsibilities

• Support definition and execution of analyses targeting innovation initiatives, development of methodologies, standards, and KPIs.
• Prototype solutions and support pilot programs for R&D purposes, including trend analyses and data integration.
• Test-driven development of scalable data processing applications.
• Deliver documentation of new methodologies and best practices.
• Collaborate with an experienced team of Developers and Data Scientists.
• Engage with Operations team as primary users of our solutions and with stakeholders on scope and outcomes.

Skills

Statistics

Data analysis

Multivariate stats

Data visualization

Python

Education

PhD/MSc in stats

Tools

R

Python

SQL

Spark

Job description

NielsenIQ in Warszawa, Poland is seeking a Senior Data Scientist within the Data Science Methods team to help define and support the development of new products and methods, and to advance data processing innovations for retail measurement and automation of statistical procedures.

You will prototype solutions, carry out trend analyses, bias reduction, indirect estimation, data integration, automation, and test-driven development of scalable applications, delivering documentation and