Data Scientist

Praxy; Johannesburg; Hybrid; ZAR 800,000 - 1,400,000; Full time

Benefits offered by this job

Discretionary annual bonus

Remote work up to 60%

Parental leave 14 weeks (primary)

Parental leave 4 weeks (secondary)

Course stipend £1000

Job summary

Jellyfish is seeking a data scientist to lead analytics within the Investment Analytics practice. You will build predictive models, analyze media data, and guide experiments to improve paid media performance for clients.

You will collaborate across teams, document processes, and promote data-driven insights, with flexible remote options and emphasis on skill growth. University degrees are de‑emphasised in favour of demonstrated ability.

Qualifications

• Programming proficiency in Python and SQL.
• 3-5 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

Responsibilities

• 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 and testing approaches to enhance campaign performance.
• Develop and implement predictive models to improve media performance and outcomes.
• Work with platform partners to grow techniques for Incrementality Testing and Data Clean Rooms using open-source and in-house code.
• Document analytics projects to ensure replicability and scalability across the organisation.

Skills

Python

SQL

Data visualization

Marketing analytics

Media data analysis

Machine learning basics

Collaboration

Problem solving

Tools

Tableau

Looker

Matplotlib

Amazon Marketing Cloud

Campaign Manager

Google Analytics

Job description

At Jellyfish, we believe in the power of diverse perspectives and inclusive collaboration. We welcome individuals who excel in collaborative, varied teams and value the unique contributions that each person brings to the table.

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

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.

Qualifications

• Programming proficiency in Python and SQL.
• 3-5 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.

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.

• Reward: You'll be eligible to join our discretionary annual bonus scheme.
• 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.
• Family Support: Enjoy 14 weeks of paid leave for primary caregivers and 4 weeks of paid leave for secondary caregivers. We also provide £1000 (or equivalent) towards courses for returning primary caregivers to support your transition back into work.

"Jellyfish will give preference to Employment Equity candidates in accordance with the company’s Employment Equity Plan and its affirmation of affirmative action measures."