At Jellyfish we believe that our individual differences are our greatest assets. We are passionate about empowering every employee to reach their full potential and contribute their unique perspectives to our collaborative environment. We are an equal opportunity employer and firmly believe that a diverse and inclusive workforce drives innovation and leads to better solutions. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other personal characteristics that make them who they are. Jellyfish is a global digital marketing agency; a unique fusion of tech enthusiasts, creative minds, and media and data experts all united to empower our clients along their digital journey. Our commitment to embracing diverse perspectives fuels our innovation and strategies that challenge the status quo, reinvent media activation, and craft influential stories for our global clients and their customers. Join us in shaping a future where business growth and personal fulfilment go hand in hand.
Job Description 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 idóneo for someone who enjoys statistical problem-solving, collaborative project work, and building analytical products that directly influence media efficiency and business outcomes.
Responsibilities 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.
What You’ll Bring
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).

📌 Senior data scientist (Heroica Puebla de Zaragoza)
🏢 Jellyfish
📍 Heroica Puebla de Zaragoza