About the job
At Jellyfish, we celebrate the richness of individual differences, viewing them as our greatest strengths. Our mission is to empower every employee to realize their full potential and share their unique insights within our dynamic and collaborative workplace. We are proud to be an equal opportunity employer, firmly believing that a diverse and inclusive workforce is the key to driving innovation and developing superior solutions. All qualified candidates are encouraged to apply, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other personal attributes.
Jellyfish stands as a global leader in digital marketing, merging technology enthusiasts, creative innovators, and data experts to assist our clients in their digital transformation journeys. Our commitment to diverse perspectives fuels our innovative strategies, redefining media activation and creating impactful narratives for our global clientele. Join us in crafting a future where business growth harmonizes with personal fulfillment.
Job Overview
As a Data Scientist within Jellyfish’s Cloud and Martech practice, you will play a pivotal role in delivering advanced measurement, modeling, and predictive analytics solutions. Your objective will be to transform complex marketing data into actionable insights that enhance media efficiency. This position is ideal for a data professional who has a firm grasp of the technical foundations and seeks to apply statistical methodologies to real-world marketing challenges in a collaborative, fast-paced environment.
Key Responsibilities
- Data Analysis: Analyze and process large datasets to uncover trends, performance metrics, and opportunities for optimization.
- Model Development: Assist in the creation of statistical models, including geo-based experiments, Media Mix Models (MMM), and Incrementality testing, ensuring precision and dependability.
- Predictive Modeling: Develop and maintain predictive models that enhance customer experiences and drive revenue growth for our clients.
- Workflow Automation: Design reproducible analytical workflows using Python and SQL, ensuring scalability and project efficiency.
- Data Storytelling: Convert technical findings into compelling narratives that resonate with diverse stakeholders.

