Principal Data Scientist

Overview

Principal Data Scientist responsible for end-to-end data science ownership for a specific market or industry, including analytical design, methodology decisions, and solution validation, with senior client interaction.

What you'll do

• Own end-to-end data science work across new and established products for a specific market or industry.
• Translate complex business problems into robust analytical strategies and defend statistical approaches and outcomes.
• Partner with Managing Directors and business leaders to support country-level revenue, EBITDA, and strategic objectives.
• Provide advanced data science and methodological guidance to client and commercial teams beyond basic support.
• Apply data and analytics strategies to ensure solutions are analytically sound, scalable, and business-relevant.
• Innovate solutions using large, complex datasets and state-of-the-art statistical/data science methods.
• Collaborate across data science, product enhancement, product, and technology teams to bring analytical solutions to market.

What you'll need

• 7+ years of hands-on experience in market research, consumer analytics, or a relevant data science field.
• Degree in Mathematics, Statistics, Data Science, or related quantitative field involving deep statistical analysis of large datasets.
• Ability to independently own complex analytical problems, including methodology selection and statistical reasoning.
• Strong statistical and logical skills, including sampling and bias reduction.
• Proficiency manipulating, analyzing, and interpreting large data sets.
• Experience working with clients in high-pressure environments with challenging questions, escalations, and tight timelines.
• Excellent written and spoken English.