Senior Data Scientist

September 15, 2026

Remote

Senior

Important before applying

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English is required

Description

Senior Data Scientist within the Data Science Methods team at NIQ Product organization. The role focuses on innovation in data processing methods for retail measurement and automation of existing statistical procedures, including prototyping solutions for R&D, test-driven development of scalable data processing applications, and delivering documentation of new methodologies and best practices.

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 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 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)
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
Experience in machine learning for prediction and classification (preferred)
Deep Learning - understanding of neural networks and frameworks like TensorFlow and PyTorch (preferred)
GenAI and AgenticAI - knowledge of LLM-based solutions and data processing automation (preferred)
Experience with Docker and Linux command line (preferred)

Conditions

Flexible working environment
Volunteer time off
LinkedIn Learning
Employee-Assistance-Program (EAP)

PythonApache SparkMS AzurePandasPolarsNumPyScikit-LearnTensorFlowPyTorchDockerretail / consumer intelligence

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