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Data Scientist - Mid level

Jellyfishcareers

Mexico City, Mexico Remote permanent

Posted: February 17, 2026

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Quick Summary

We are looking for a Data Scientist who can drive innovation and build data-driven solutions for our customers. The ideal candidate will have experience in data analysis, machine learning, and programming languages such as Python and R. The role requires strong communication and collaboration skills, with the ability to work effectively in a fast-paced environment.

Job Description

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.

LOCATION: Mexico City

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 ideal 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.

Qualifications

• 3 to 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).

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.

Additional Information

Join Jellyfish and experience a workplace where we prioritise your growth, celebrate your contributions, and empower you to tailor your work environment to suit your needs.

💰 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.

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 [email protected].

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