Research Scientist - Machine Learning and AI

As a Mid/Senior Research Scientist at NielsenIQ, you will be joining the applied research and innovation team with a data-centric mindset. Your primary responsibilities will include analyzing data, researching suitable techniques, and developing, testing, supporting, and delivering proof of concepts to address real-world and large-scale challenging problems. You will be expected to develop and apply machine learning innovations independently, ensuring high-quality standards and minimal defects in both data and software. Key Responsibilities: - Analyze data and research appropriate techniques - Develop, test, support, and deliver proof of concepts - Apply machine learning innovations with minimal technical supervision - Understand stakeholder requirements and communicate results effectively - Conduct feasibility studies and determine appropriate solutions - Ensure simplicity, scalability, reproducibility, and maintainability in ML solutions and source code - Collaborate with technical fellows on integration and deployment of ML solutions - Maintain high-quality standards and minimal defects in data and software - Encourage team building and cultivate effective team relations Qualifications: Essential Requirements: - Bachelor's degree in Computer Science or an equivalent numerate discipline - Senior experience in Machine Learning, Deep Learning & other AI fields - Experience with large datasets, production-grade code & operationalization of ML solutions - Hands-on experience with datasets, ML models (Pytorch or Tensorflow) & evaluations - Ability to understand scientific papers & translate ideas into executable code - Analytical mindset, problem-solving skills & logical thinking capabilities - Proactive attitude, intellectual curiosity & persistence to find answers - Strong interpersonal & communication skills in English, with the ability to meet deadlines - Proficiency in Python, Pytorch, Git, pandas, dask, polars, sklearn, huggingface, docker, databricks Desired Skills: - Masters degree &/or specialization courses in AI/ML, PhD in science is a plus - Experience in MLOPs (MLFlow, Prefect) & deployment of AI/ML solutions to the cloud (Azure preferred) - Understanding & practice of LLMs & Generative AI - Experience with Robotic Process Automation, Time Series Forecasting & Predictive modeling - Practical grasp of databases (SQL, ElasticSearch, Pinecone, Faiss) - Previous experience in retail, consumer, ecommerce, business, FMCG products NielsenIQ is a consumer intelligence company that provides insights into consumer behavior and market trends using Machine Learning and Artificial Intelligence. They are committed to diversity and inclusion, fostering an inclusive workplace to drive innovation and excellence. As a Mid/Senior Research Scientist at NielsenIQ, you will be joining the applied research and innovation team with a data-centric mindset. Your primary responsibilities will include analyzing data, researching suitable techniques, and developing, testing, supporting, and delivering proof of concepts to address real-world and large-scale challenging problems. You will be expected to develop and apply machine learning innovations independently, ensuring high-quality standards and minimal defects in both data and software. Key Responsibilities: - Analyze data and research appropriate techniques - Develop, test, support, and deliver proof of concepts - Apply machine learning innovations with minimal technical supervision - Understand stakeholder requirements and communicate results effectively - Conduct feasibility studies and determine appropriate solutions - Ensure simplicity, scalability, reproducibility, and maintainability in ML solutions and source code - Collaborate with technical fellows on integration and deployment of ML solutions - Maintain high-quality standards and minimal defects in data and software - Encourage team building and cultivate effective team relations Qualifications: Essential Requirements: - Bachelor's degree in Computer Science or an equivalent numerate discipline - Senior experience in Machine Learning, Deep Learning & other AI fields - Experience with large datasets, production-grade code & operationalization of ML solutions - Hands-on experience with datasets, ML models (Pytorch or Tensorflow) & evaluations - Ability to understand scientific papers & translate ideas into executable code - Analytical mindset, problem-solving skills & logical thinking capabilities - Proactive attitude, intellectual curiosity & persistence to find answers - Strong interpersonal & communication skills in English, with the ability to meet deadlines - Proficiency in Python, Pytorch, Git, pandas, dask, polars, sklearn, huggingface, docker, databricks Desired Skills: - Masters degree &/or specialization courses in AI/ML, PhD in science is a plus - Experience in MLOPs (MLFlow, Prefect) & deployment of AI/ML solutions to the cloud (Azure preferred) - Understanding & practice of LLMs & Generative AI