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Volunteer Opportunity

Senior Data Scientist

NielsenIQ Poland

Deadline: Not specified

Short Summary

Senior Data Scientist with NielsenIQ. RESPONSIBILITIES Support definition and execution of analyses targeting innovation initiatives, development and implementation of methodologies, standards, and KPIs. Prototype solutions and support pilot programs for R&D purposes, including trend analyses, representation/sampling, bias reduction, indirect estimation, data integration, automation, and generalisation. Test-driven…

Key Details

  • Position / opportunity: Senior Data Scientist
  • Organization: NielsenIQ
  • Country / coverage: Poland
  • Location: Warsaw, 30, Poland
  • Work arrangement: On-site
  • Opportunity type: Volunteer opportunities
  • Sector: Education
  • Compensation: Not specified
  • Duration: Not specified
  • Start date: 2026-09-14
  • Application deadline: Not specified

Description

RESPONSIBILITIES Support definition and execution of analyses targeting innovation initiatives, development and implementation of methodologies, standards, and KPIs. Prototype solutions and support pilot programs for R&D purposes, including trend analyses, representation/sampling, bias reduction, indirect estimation, data integration, automation, and generalisation. 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. Support various Operations teams as main users of our solutions. Engage with stakeholders on scope, execution, data exchange, and outcomes for assigned projects. Participate in multiple projects simultaneously. Requirements: B.S., Masters, or PhD degree in Statistics, Mathematics, Social Science, Operation Research, or other hard sciences (e.g., Engineering, Computer Science, Biology, Physics, etc.) 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 – ability to create clear and compelling charts and graphs Proficient in Python programming language including data analysis and statistical packages (Pandas, Polars, NumPy, Scikit-Learn). Familiarity with Python standard library, especially unittest and argparse modules. Experience with Apache Spark or other big data processing solutions. Experience with cloud computing and storage (MS Azure preferred). Ability to manipulate, analyze, and interpret large data sources. Strong communication/writing skills with good English Preferred: Experience in NIQ methodologies, data collection, platforms, research processes, and operations. Experience in machine learning (appropriate application for prediction and classification) Deep Learning – understanding of neural networks and deep learning frameworks like TensorFlow and PyTorch. GenAI and AgenticAI – knowledge of available applications and programming packages for implementation of LLM based solutions and data processing automation. Experience with the Docker and Linux command line. Our Benefits Flexible working environment Volunteer time off LinkedIn Learning Employee-Assistance-Program (EAP) NIQ may utilize artificial intelligence (AI) tools at various stages of the recruitment process, including résumé screening, candidate assessments, interview scheduling, job matching, communication support, and certain administrative tasks that help streamline workflows. These tools are intended to improve efficiency and support fair and consistent evaluation based on job-related criteria. All use of AI is governed by NIQ’s principles of fairness, transparency, human oversight, and inclusion. Final hiring decisions are made exclusively by humans. NIQ regularly reviews its AI tools to help mitigate bias and ensure compliance with applicable laws and regulations. If you have questions, require accommodations, or wish to request human review were permitted by law, please contact your local HR representative. For more information, please visit NIQ’s AI Safety Policies and Guiding Principles: https://nielseniq.com/global/en/info/niqs-ai-safety-policies/ About NIQ NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population. For more information, visit NIQ.com Want to keep up with our latest updates? Follow us on: LinkedIn | Instagram | Twitter | Facebook Our commitment to Diversity, Equity…

Responsibilities

  • RESPONSIBILITIES Support definition and execution of analyses targeting innovation initiatives, development and implementation of methodologies, standards, and KPIs.
  • Prototype solutions and support pilot programs for R&D purposes, including trend analyses, representation/sampling, bias reduction, indirect estimation, data integration, automation, and generalisation.
  • 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.
  • Support various Operations teams as main users of our solutions.

Requirements / Eligibility

  • : B.S., Masters, or PhD degree in Statistics, Mathematics, Social Science, Operation Research, or other hard sciences (e.g., Engineering, Computer Science, Biology, Physics, etc.) 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 – ability to create clear and compelling charts and graphs Proficient in Python programming language including data analysis and statistical packages (Pandas, Polars, NumPy, Scikit-Learn).
  • Familiarity with Python standard library, especially unittest and argparse modules.

How To Apply

Use the Apply now button and follow the instructions on the application page.