Data Scientist – Market Research, Brand Health Tracking

🕒 May 28

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Ipsos North America

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Ipsos is one of the world’s leading independent market research companies controlled and managed by research professionals. Founded in France in 1975, Ipsos has grown into a global research group with a presence in 89 countries.

📋 Description

• Collaborating with the Lead Data Scientists and cross-functional teams to develop and implement predictive modelling and advanced brand analytics tools using Python and R. • Contributing to the development of new product features, working closely with the Head of Modelling, Lead Data Scientists and the broader team. • Participating in agile development processes, delivering high-quality results within designated deadlines. • Continuously learning and growing by leveraging guidance and mentorship from the Lead Data Scientist, fostering your professional development. • Effectively communicating to convey complex concepts to both technical and non-technical stakeholders. • Applying respondent level analytics to survey data, testing and refining synthetic data methods, and / or in building timeseries econometric models in relation to solving brand and marketing questions.

🎯 Requirements

• A technical degree, with a focus on data science or statistics. • Solid experience in data science, ideally in Market research or related role. • Advanced coding in Python and R. • Solid knowledge of statistical analysis and machine learning techniques. • Proficiency in Python and experience using Jupyter Notebooks and / or colab for data analysis and modelling. • Experience in applying respondent level analytics to survey data, and / or in building timeseries econometric models. Ideally in relation to solving brand and marketing questions. • Strong problem-solving and critical-thinking skills. • Effective communication skills to convey complex concepts to both technical and non-technical stakeholders.

🏖️ Benefits

• 25 days annual leave • pension contribution • income protection • life assurance • health & wellbeing benefits • financial benefits • professional development opportunities