Research Scientist
hace 1 semana
We are seeking a highly skilled Research Scientist to join our team at NielsenIQ. As a Research Scientist, you will be responsible for analyzing data, researching the most appropriate techniques, and developing, testing, supporting, and delivering proof of concepts to resolve real-world and large-scale challenging problems.
Key Responsibilities- Analyze data and research the most appropriate techniques to develop, test, support, and deliver proof of concepts.
- Develop and apply machine learning innovations by collaborating with other team members and company stakeholders.
- Understand the requirements and communicate results and conclusions in a way that is accurate, clear, and winsome.
- Perform feasibility studies and analyze data to determine the most appropriate solution.
- Work on many different data challenges, ensuring a combination of simplicity, scalability, reproducibility, and maintainability within the ML solutions and source code.
- PhD/Masters in a specific area of AI/ML with scientific soundness and published papers.
- Able to understand scientific papers and develop the idea into executable code.
- Hands-on expertise in Machine Learning, NLP, LMs, GenAI, signal processing, and data science.
- Previous experience with key information extraction, product retrieval, and product matching.
- EDA analysis and practical hands-on experience with datasets, ML models, and evaluations.
- Python, Pytorch, Git, pandas, dask, polars, sklearn, huggingface, docker, databricks.
- Analytical mindset, problem-solving, and logical thinking capabilities.
- Proactive attitude, constructive, intellectual curiosity, and persistence to find answers to questions.
- A high level of interpersonal and communication skills in English and strong ability to meet deadlines.
- Keen to work as part of a diverse team of international colleagues and in a global inclusive culture.
- A minimum of 3-5 years' experience with evidence in a related ML field.
- Experience working with large datasets, production-grade code, and operationalization of ML solutions.
- Experience in MLOPs (MLFlow, Prefect) and deployment of AI/ML solutions to the cloud (esp. Azure).
- Robotic Process Automation and a practical grasp of databases (SQL, ElasticSearch, Pinecone, Faiss).
- Previous experience in retail, consumer, ecommerce, business, FMCG products (NielsenIQ portfolio).
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