Senior Research Scientist

As a Machine Learning professional at our company, you will have the opportunity to work on cutting-edge AI/ML techniques and contribute to strategic global projects. Your role will involve developing and applying machine learning innovations to business problems with minimal technical supervision, assessing results for real-world applicability, and effectively communicating with stakeholders. Here is a breakdown of your responsibilities: - Develop and apply machine learning innovations to business problems with minimal technical supervision. - Assess your own and others' results to understand their applicability in the real world. - Understand stakeholders' requirements and communicate results and conclusions accurately, clearly, and winsomely. - Perform feasibility studies and analyze data to determine the most appropriate solution. - Work on various data challenges, ensuring simplicity, scalability, reproducibility, and maintainability within the ML solutions and source code. - Maintain and develop data and software with high-quality standards and minimal defects. - Collaborate with technical colleagues on the integration and deployment of ML solutions. - Encourage team building, motivation, and cultivate effective team relations. Qualifications required for this role include: - Demonstrated senior-level experience in Machine Learning and Deep Learning using Pytorch. - Experience performing EDA with large datasets and writing production-grade code. - Ability to understand scientific papers and develop the idea into executable code. - Analytical mindset, problem-solving, and logical thinking capabilities. - A high level of interpersonal and presentation skills in English across cultures. - Strong ability to meet deadlines. - Keen to work as part of a diverse team of international colleagues and in a global inclusive culture. - Proficiency in Python, Pytorch, Git, pandas, sklearn, huggingface. - A minimum of 7 years' experience with evidence in a related ML field. Good to Have qualifications include: - Master's degree and/or specialization courses in ML/DL/NLP. PhD in science is an added value. - Experience in MLOPs. - Understanding and practice of Generative AI (prompt engineering, RAG). - Practical grasp of databases (SQL, ElasticSearch) and Databricks. - Experience in retail, consumer, ecommerce, business, FMCG domain. Additionally, you can enjoy a flexible and rewarding work environment with peer-to-peer recognition platforms, wellness plans for you and your family, financial wellness tools, and career development opportunities. About the Company: NielsenIQ is the world's leading consumer intelligence company, providing a deep understanding of consumer buying behavior and growth opportunities. In 2023, NielsenIQ combined with GfK to enhance their global reach and consumer insights. Operating in 100+ markets, NielsenIQ is committed to diversity, equity, and inclusion in the workplace. For more information, visit NIQ.com and follow us on LinkedIn, Instagram, Twitter, and Facebook for the latest updates. As a Machine Learning professional at our company, you will have the opportunity to work on cutting-edge AI/ML techniques and contribute to strategic global projects. Your role will involve developing and applying machine learning innovations to business problems with minimal technical supervision, assessing results for real-world applicability, and effectively communicating with stakeholders. Here is a breakdown of your responsibilities: - Develop and apply machine learning innovations to business problems with minimal technical supervision. - Assess your own and others' results to understand their applicability in the real world. - Understand stakeholders' requirements and communicate results and conclusions accurately, clearly, and winsomely. - Perform feasibility studies and analyze data to determine the most appropriate solution. - Work on various data challenges, ensuring simplicity, scalability, reproducibility, and maintainability within the ML solutions and source code. - Maintain and develop data and software with high-quality standards and minimal defects. - Collaborate with technical colleagues on the integration and deployment of ML solutions. - Encourage team building, motivation, and cultivate effective team relations. Qualifications required for this role include: - Demonstrated senior-level experience in Machine Learning and Deep Learning using Pytorch. - Experience performing EDA with large datasets and writing production-grade code. - Ability to understand scientific papers and develop the idea into executable code. - Analytical mindset, problem-solving, and logical thinking capabilities. - A high level of interpersonal and presentation skills in English across cultures. - Strong ability to meet deadlines. - Keen to work as part of a diverse team of international colleagues and in a global inclusive culture. - Proficiency in Python, Pytorch, Git, pandas, sklearn, huggingfac