Qualifications
Key Responsibilities:Formulating hypotheses and developing proof-of-concept ML models for Natural Language Processing and Image Processing. Conducting supervised and unsupervised learning tasks. Translating industry-specific knowledge into effective models. Monitoring and ensuring data quality. Effectively communicating insights through both written and visual mediums. Skills and Proficiencies Required:Bachelor’s degree in Mathematics, Physics, Natural Sciences, or Engineering fields, with a minimum of 2 years of relevant experience. Proficient in Python, R, SQL, with a solid understanding of git workflows, basic scripting including CI/CD, and familiarity with HTML/JavaScript. Strong coding practices including documentation, linting, and test-driven development. Ability to maintain and evaluate ML models, ensuring they remain effective and up-to-date. Experience in utilizing cloud resources, managing SQL instances, and understanding data pipelines. Proficient in creating effective visualizations and dynamic reports. Familiarity with exploratory data analysis, classical learning techniques, and deep learning approaches.
About the job
Join our dynamic Data Science team at Euromonitor, where we analyze data from the rapidly evolving world of consumer goods. Our data is sourced from both standardized databases and online retail channels, encompassing various formats such as semi-structured text in multiple languages, images, and precise numeric values.
We are currently seeking a talented Data Scientist to enhance our team. You will play a crucial role in developing new machine learning models and refining existing ones based on client feedback. Your innovative approach to data analysis will contribute to the creation of new products that meet our clients' needs.
About Euromonitor International
Euromonitor International is a trusted provider of market research and analysis in the consumer goods industry. With a focus on innovation and collaboration, we strive to provide our clients with insights that drive their business strategies. Join us to be part of a forward-thinking team dedicated to excellence in data science.