Senior Data Scientist

Nabla; Warszawa; On-site; PLN 180,000 - 320,000; Full time

Benefits offered by this job

Flexible working environment

Volunteer time off

LinkedIn Learning

Employee-Assistance-Program (EAP)

Job summary

NIQ is seeking a Senior Data Scientist in the Data Science Methods team within the NIQ Product organization in Warsaw to help define and support development of new products and methods, focusing on innovation in data processing for retail measurement.

You will prototype solutions and support pilot programs for R&D, conduct trend analyses, bias reduction, data integration and automation; contribute to scalable, test‑driven applications and comprehensive documentation while collaborating with an

Qualifications

• Advanced degree in statistics, mathematics, or a hard science with strong analytics.
• At least 3 years of relevant work experience.
• Experience with trend analysis, multivariate stats, sampling, and bias reduction.

Responsibilities

• Define analyses and KPIs for innovation initiatives.
• Prototype solutions and support pilots for R&D purposes.
• Develop scalable data processing applications with test-driven methods.
• Deliver documentation of methodologies and best practices.
• Collaborate with an experienced team of developers and data scientists.
• Engage with stakeholders on scope, execution, data exchange, and outcomes.

Skills

Statistical Analysis

Python (Pandas)

Data Visualization

Big Data

Education

Master's or PhD in Statistics

Mathematics or CS degree

Tools

Apache Spark

Job description

Job Description

Job Purpose: As a Senior Data Scientist within the Data Science Methods team in the NIQ Product organization, you will help define and support development of new products and methods and improvement initiatives. This position focuses on innovation in data processing methods for retail measurement and automation of existing statistical procedures.

Job 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 generalization.
• 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 team as main users of our solutions.
• Engage with stakeholders on scope, execution, data exchange, and outcomes for assigned projects.
• Participate in multiple projects simultaneously.

Qualifications

• 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.

Additional Information

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

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Our commitment to Diversity, Equity, and Inclusion

At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence. All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion, please visit https://nielseniq.com/global/en/news-center/diversity-inclusion