NielsenIQ
Technology
DataAnalyst/MLOps
Neural analysis suggests this role is
optimal for mid candidates.
“Data Analyst / MLOps at NielsenIQ. Skills: Data Science, MLOps, Data Engineering, Business Intelligence. Develop and deploy machine learning models. Build and maintain data pipelines”
Industry & Context.
Root cause analysis; Troubleshooting
What They're Looking For.
Must Have
4+ years of experience, Bachelor's degree in Computer Science, Statistics, Mathematics, or related field, Proficiency in SQL, Experience with Python or R
Nice to Have
Master's degree or PhD, Experience with cloud platforms (AWS, GCP, Azure), Experience with MLOps tools and practices, Experience with BI tools (Tableau, Power BI, Looker), Experience with data warehousing solutions (Snowflake, BigQuery, Redshift), Experience with ML frameworks (scikit-learn, TensorFlow, PyTorch), Experience with CI/CD pipelines, Experience with containerization (Docker, Kubernetes)
What You'll Do.
Develop and deploy machine learning models
Build and maintain data pipelines
Implement MLOps best practices
Design and develop BI dashboards
Perform data analysis
Collaborate with stakeholders
Monitor model performance
Troubleshoot data issues
How You'll Work.
Team & Collaboration
Cross-functional teams; Data scientists; Engineers; Product managers
Full Job Description
NielsenIQ is a consumer intelligence company that delivers the Full View™, the world’s most complete and clear understanding of consumer buying behavior that reveals new pathways to growth. Since 1923, NIQ has moved measurement forward for industries and economies across the globe. We are putting the brightest and most dedicated minds together to accelerate progress. By embracing our diversity, we inspire each other to excel and create a lasting impact through our work and the people we collaborate with. NielsenIQ offers a range of products and services that leverage Machine Learning and Artificial Intelligence to provide insights into consumer behavior and market trends. This position opens the opportunity to apply the latest state of the art in AI/ML and data science to global and key strategic projects. 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 travel required) and work closely with data scientists, engineers, and product teams to make sure our ML systems are running smoothly, scaling smartly, and always getting better. If you're into automation, monitoring, and making ML work in the real world, and if you enjoy learning and collaborating, this role is for you. What You’ll Do * Monitor & Optimize ML Models: Build and maintain systems to track model performance and output quality. * Automate & Scale: Simplify and automate workflows around data pipelines and model serving. * Collaborate Cross-Functionally: Work with data scientists, engineers, analysts, and product teams in global cross-functional teams. * Troubleshoot & Improve: Deep-dive into ML systems to identify issues, implement quick fixes, and propose long-term solutions. * Champion Best Practices: Promote code quality, monitoring standards, and MLOps excellence across teams. * Share & Grow: Contribute to internal Communities of Practice a
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