Data Scientist

Reporting to our Director of Data Science, Investment Analytics, you will create an impact within our Investment Analytics practice and help with the Paid Media data applications that Jellyfish uses to lead expertise, improve, and transform solutions and services for our clients.

You'll help lead complex data science solutions, guiding multi-capability presentations, and taking ownership of advanced measurement and testing for our clients. Join us in our mission to deliver data-inspired excellence!

Your primary responsibilities will include:

• Analyse data to discover hidden trends; deliver insights and analysis with clear applicable recommendations.
• Dedicate time to explaining and promoting the use of data science methodologies such as Geo-based Incrementality. Experiments, Media Mix Models, Causal Impact Studies, and other statistically sound testing approaches. Ensure these methodologies enhance campaign performance for existing clients, providing tangible improvements and insights.
• Develop, and implement predictive models to improve and improve media performance, customer experiences, revenue generation, and other outcomes.
• Work with platform partners to grow the suite of mathematical techniques for Incrementality Testing, Media Mix Modelling and Data Clean Rooms using both open-source and in-house code to create an excellent offering for clients.
• Document analytics projects in a manner that ensures specific processes can be replicated and scaled across an organisation.
• English and Spanish proficiency
• Programming proficiency in Python and SQL.
• 3+ years of experience in a data role.
• Proficiency in visualising data using Tableau, Looker, Matplotlib, or equivalents.
• Knowledge of the marketing ecosystem and measurement framework, including paid display, search, social, video, organic, web, and app.
• Experience analysing media and web data, such as Amazon Marketing Cloud, Google ADH, Campaign Manager, Meta, and Google Analytics, .
• Familiarity with media measurement solutions, such as media mix modelling, incrementality, and attribution models.
• You seek and implement solutions to improve and automate processes.
• An understanding of machine learning concepts is great—hands-on experience is a bonus.
• A collaborative mindset—you value diverse perspectives, work well in teams, and are motivated by shared goals.
• Problem-solving skills—when faced with challenges, you work with others to explore options and identify practical solutions.

Note: We emphasise skills, expertise and behavioural attributes over years of experience and traditional degrees. If you want to join our collaborative team, we invite you to apply today with your resume in English.

• 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 LinkedIn Learning with unlimited online courses
• Health Insurance: We provide a private health insurance policy that includes visual and dental plan coverage.

Unfortunately, there has been an increase in fake recruiters impersonating Jellyfish and unlawfully using our brand name. If you are unsure if an email with a job offer you have received is genuinely from Jellyfish, or if you suspect any fraudulent activity, please report it to talentacquisition@jellyfish.com.

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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.

Join us in shaping a future where business growth and personal fulfilment go hand in hand.