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Data Scientist, Investment Analytics

Ananzi

Cape Town

Hybrid

ZAR 500,000 - 900,000

Full time

2 days ago
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Job summary

A leading company in the data science field is seeking a Data Scientist to join their Investment Analytics team in Cape Town. You will analyze data, develop predictive models, and enhance client campaign performance while working in a collaborative environment that prioritizes growth and flexible working options.

Benefits

Discretionary annual bonus scheme
Work remotely for up to 60% of the time
One paid day each month for self-development
Access to unlimited online courses via LinkedIn Learning
14 weeks of paid leave for primary caregivers
4 weeks of paid leave for secondary caregivers

Qualifications

  • 3+ years of experience in a data role.
  • Fluency in English.
  • Understanding of machine learning concepts is beneficial.

Responsibilities

  • Analyze data to discover hidden trends and deliver insights.
  • Develop and implement predictive models to improve media performance.
  • Ensure methodologies enhance campaign performance for clients.

Skills

Programming proficiency in Python
Programming proficiency in SQL
Data visualization
Problem-solving skills
Collaborative mindset

Tools

Tableau
Looker
Matplotlib

Job description

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 : Analyze data to discover hidden trends; deliver insights 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 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 Modeling, 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 organization.Qualifications Fluency in English.Programming proficiency in Python and SQL.3+ years of experience in a data role.Proficiency in visualizing 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 analyzing 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 modeling, incrementality, and attribution models.Problem-solving skills—when faced with challenges, you work with others to explore options and identify practical solutions.A collaborative mindset—you value diverse perspectives, work well in teams, and are motivated by shared goals.An understanding of machine learning concepts is great—hands-on experience is a bonus.You seek and implement solutions to improve and automate processes.Note : We emphasize skills, expertise, and behavioral 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 prioritize 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.

Growth, Your Way : Grow your career with one paid day each month for self-development and access to LinkedIn Learning with unlimited online courses.

Family Support : Enjoy 14 weeks of paid leave for primary caregivers and 4 weeks of paid leave for secondary caregivers.

We also provide £ (or equivalent) towards courses for returning primary caregivers to support your transition back into work.

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Data Scientist • Cape Town, Western Cape

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