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Principal Data Operations Analyst driving operational excellence through advanced data coding, matching, and quality checks, while leading team coordination and stakeholder engagement for BAU production workflows. Core technologies include Machine Learning (required) and Python, SQL, Excel.
So where do you fit here? Our client comes first. This means that NielsenIQ support specialists are here to help. As a Support Specialist, you will be responsible for high quality and in-depth technical support to…
In 100 countries around the world, NielsenIQ provides clients with the most complete understanding of how the FMCG market evolves and what consumers buy. As a global leader in measurement and information, we believe…
At NIQ, we deliver the most complete and clear understanding of consumer buying behavior that reveals new pathways to growth. Our Retail Analytics team partners with leading retailers to provide data-driven insights,…
The Site Reliability Engineer will design and manage cloud infrastructure on AWS using Terraform and Kubernetes to support data-driven applications. The role involves automating CI/CD pipelines, managing tools like Airflow and Snowflake, and ensuring system reliability through monitoring and troubleshooting.
The Lead Data Scientist will partner with commercial and product teams to deliver data-driven insights for the FMCG industry, utilizing advanced analytics and Python/R. This client-facing role involves leading a team, developing innovative analytical strategies, and translating complex data into actionable business solutions.
We are seeking a Data Scientist to support innovative measurement solutions that help reinvent how consumer shopping behavior is measured across APAC (Asia-Pacific) markets. As part of the Product Design &…
Lead Data Scientist developing and refining data processing pipelines and analytical methodologies using Python and PySpark on large datasets at a consumer intelligence company.
Develops and maintains automated test frameworks for ETL pipelines using Python, PySpark, SQL, and Databricks to ensure data integrity and reliability in a cloud-based data ecosystem.
Senior Data Scientist analyzes large consumer and retail datasets to validate data quality, improve statistical methodologies, and ensure accuracy of measurement products for consumer insights.
Build and maintain Linux back-end systems in C++/Python that ingest and pre-process media measurement data from 50k+ devices, using AWS, REST APIs, and security best practices.
Build and maintain automated test frameworks for a cloud-based big-data analytics platform using Python, PySpark, SQL, Databricks, and Playwright/Selenium to validate data pipelines and services.
Build and refine AI-driven e-commerce measurement models to analyze online shopping behavior and improve retail insights for global markets.
Designs and builds autonomous AI agents with multi-step reasoning using LLMs (e.g., AutoGen, Microsoft Agent Framework) while owning microservices development, testing, and deployment in containerized environments.
Build and deploy autonomous AI agents using LLMs and agentic frameworks (AutoGen) while developing scalable Python microservices with FastAPI and Kubernetes.
Build and deploy production-grade AI models using PyTorch and LLMs to power analytics from NielsenIQ’s global retail data, collaborating with engineers and business teams.
Build and scale distributed web scrapers that bypass anti-bot systems, reverse-engineer APIs, and collect large-scale data for analytics using Python, Scrapy, Playwright, and cloud tools.
Build and maintain web crawlers, bypass anti-bot defenses, and optimize data-collection systems using Python and backend technologies.
Designs and maintains ETL pipelines, data warehouses, and automated reports using Snowflake, dbt, Airflow, and Python for financial data solutions in Mexico City.
Are you passionate about bridging the gap between data science and production? We’re looking for a Senior MLOps Analyst to join our NiQ Tech & Durable Global Data Science team. You’ll be based in Kuala Lumpur (no…
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