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As a Data Scientist within Jellyfish’s Cloud and Martech practice, you will help design and deliver advanced measurement, modelling, and predictive analytics solutions that improve client performance and inform strategic decision-making. You will work across multiple teams to transform complex data into clear insights, build scalable analytical frameworks, and apply modern data science techniques to real marketing and customer experience challenges. This role is ideal for someone who enjoys statistical problem-solving, collaborative project work, and building analytical products that directly influence media efficiency and business outcomes.
Job Responsibility:
Analyse large and complex datasets to uncover trends, diagnose performance issues, and generate actionable recommendations
Apply and explain data science methodologies such as Geo-based experiments, Media Mix Models, Causal Impact Studies, Incrementality testing, and other robust statistical approaches
Develop and implement predictive and causal models that improve media performance, customer experiences, and revenue outcomes
Work with internal partners and external platforms to advance our capabilities in incrementality testing, media modelling, and privacy-safe measurement techniques
Build reproducible analytical workflows, document processes clearly, and create repeatable frameworks that scale across clients and markets
Translate model outputs into compelling narratives through visualizations, dashboards, and structured readouts
Collaborate closely with Cloud Engineers, Analysts, and Martech specialists to ensure solutions integrate effectively into client ecosystems
Requirements:
5+ years of experience in data science, analytics, or a quantitative discipline
Strong proficiency in Python and SQL
Experience with data visualization tools such as Looker, Tableau, Matplotlib, or similar
Understanding of the digital marketing ecosystem, including paid media channels, web/app analytics, and measurement frameworks
Experience working with datasets from tools such as Google Analytics, Campaign Manager, Amazon Marketing Cloud, ADH, Meta, or equivalents
Familiarity with MMM, incrementality testing, attribution models, or causal inference techniques
Curiosity and initiative, you look for ways to improve, automate, and scale analytical work
Strong communication and collaboration skills, with the ability to explain complex methods to non-technical stakeholders
Exposure to machine learning concepts (hands-on experience is a plus)
What we offer:
Savings fund: You'll save 5% of your monthly income and Jellyfish will contribute the same amount you save to your savings fund
Custom Work Environment: Work remotely for up to 60% of your days and shape your day between 8am. and 6:30pm with flexible working hours
Growth, Your Way: Accumulate one paid day each month (2 hours per week) for self-development and access to Jellyfish Learn
Health Insurance: We provide a private health insurance policy that includes visual and dental plan coverage