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Research Scientist
hace 2 meses
NielsenIQ is a leading consumer intelligence company that delivers unparalleled insights into consumer behavior and market trends. With a rich history dating back to 1923, we have established ourselves as a trusted partner for industries and economies worldwide.
Our mission is to accelerate progress by harnessing the power of Machine Learning and Artificial Intelligence. We bring together the brightest minds to drive innovation and leave a lasting legacy in the work we do.
Job SummaryWe are seeking a highly skilled Research Scientist to join our applied research and innovation team. As a key member of our team, you will be responsible for analyzing complex data, researching cutting-edge techniques, and developing innovative solutions to real-world problems.
Key Responsibilities- Develop and Apply Machine Learning Innovations: Collaborate with team members and stakeholders to design and implement machine learning solutions that drive business value.
- Communicate Results Effectively: Present complex technical findings in a clear, concise, and engaging manner to both technical and non-technical audiences.
- Perform Feasibility Studies and Data Analysis: Conduct thorough analysis to determine the most suitable solution for complex problems.
- Design and Develop High-Quality ML Solutions: Ensure that data and software are developed and maintained with high standards of quality and minimal defects.
- Collaborate with Technical Fellows: Work closely with other technical experts to integrate and deploy machine learning solutions.
- Contribute to Team Success: Foster a collaborative team environment, promoting motivation, effective communication, and a culture of continuous learning.
- Advanced Degree in AI/ML: Hold a PhD or Master's degree in a relevant field with a strong foundation in scientific research and published papers.
- Hands-on Expertise in Machine Learning: Possess in-depth knowledge of machine learning, natural language processing, language models, and signal processing.
- Experience with Key Information Extraction: Have a proven track record of extracting key information from datasets and developing executable code.
- Proficiency in Python and Related Tools: Be proficient in Python, PyTorch, Git, pandas, dask, polars, scikit-learn, and other relevant tools.
- Strong Analytical and Problem-Solving Skills: Demonstrate a high level of analytical thinking, problem-solving, and logical reasoning capabilities.
- Excellent Communication and Interpersonal Skills: Possess strong communication and interpersonal skills, with the ability to work effectively in a team environment.
