Data Scientist

Jellyfishcareers

South Africa

HybridCareer-pivot friendly

Who this role is best for

Aimed at mid-to-senior level data professionals who can lead complex data science solutions and promote advanced measurement techniques.

Best fit for

Candidates with 3-5 years of data experience and a track record in media analytics and predictive modeling
— “3-5 years of experience in a data role.”
Individuals who have led data science projects and delivered actionable insights for marketing campaigns
— “Analyse data to discover hidden trends; deliver insights and analysis with clear applicable recommendations.”
Professionals with a collaborative mindset and a history of working in diverse, cross-functional teams
— “A collaborative mindset—you value diverse perspectives, work well in teams, and are motivated by shared goals.”

Things to consider

The role requires a strong understanding of marketing measurement frameworks and platforms
— “Knowledge of the marketing ecosystem and measurement framework, including paid display, search, social, video, organic, web, and app.”
Candidates should be prepared to document processes for replication and scaling across the organization
— “Document analytics projects in a manner that ensures specific processes can be replicated and scaled across an organisation.”

How to stand out

Demonstrate experience with incrementality testing and media mix modeling in your resume and interview responses
— “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.”
Highlight your ability to implement predictive models that improve media performance and customer experiences
— “Develop, and implement predictive models to improve and improve media performance, customer experiences, revenue generation, and other outcomes.”
Showcase your skills in data visualization tools like Tableau or Looker in your application materials
— “Proficiency in visualising data using Tableau, Looker, Matplotlib, or equivalents.”

Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

deliver insights and analysis with clear applicable recommendations
ensure specific processes can be replicated and scaled across an organisation

Typical background

3-5 years of experience in a data role

Skills & requirements

Required

Analyse Data To Discover Hidden TrendsDevelop And Implement Predictive ModelsWork With Platform Partners To Grow The Suite Of Mathematical Techniques

Preferred

Programming Proficiency In Python And SqlProficiency In Visualising Data Using Tableau, Looker, Matplotlib

Stack & domain

PythonSQLTableauLookerMatplotlibAmazon Marketing CloudGoogle ADHMetaGoogle AnalyticsMedia Mix ModellingIncrementalityAttribution ModelsProblem-solvingCollaborationOwnershipAccountabilityData ScienceMarketing AnalyticsMedia Measurement

About the role

Original posting from Jellyfishcareers via Ashby

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. 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.
💰 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 Affirmative Action measures.”
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.

Source: Jellyfishcareers careers (Ashby)