Data Scientist, Investment Analytics

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:

1. Analyze data to discover hidden trends; deliver insights with clear applicable recommendations.
2. 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.
3. Ensure these methodologies enhance campaign performance for existing clients, providing tangible improvements and insights.
4. Develop and implement predictive models to improve media performance, customer experiences, revenue generation, and other outcomes.
5. 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.
6. Document analytics projects in a manner that ensures specific processes can be replicated and scaled across an organization.

Qualifications

1. Fluency in English.
2. Programming proficiency in Python and SQL.
3. 3+ years of experience in a data role.
4. Proficiency in visualizing data using Tableau, Looker, Matplotlib, or equivalents.
5. Knowledge of the marketing ecosystem and measurement framework, including paid display, search, social, video, organic, web, and app.
6. Experience analyzing media and web data, such as Amazon Marketing Cloud, Google ADH, Campaign Manager, Meta, and Google Analytics.
7. Familiarity with media measurement solutions, such as media mix modeling, incrementality, and attribution models.
8. You seek and implement solutions to improve and automate processes.
9. An understanding of machine learning concepts is great—hands-on experience is a bonus.
10. A collaborative mindset—you value diverse perspectives, work well in teams, and are motivated by shared goals.
11. Problem-solving skills—when faced with challenges, you work with others to explore options and identify practical solutions.

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 £1000 (or equivalent) towards courses for returning primary caregivers to support your transition back into work. 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. #LI-Hybrid Jellyfish will give preference to Employment Equity candidates in accordance with the company's Employment Equity Plan and its Affirmative Action measures. #J-18808-Ljbffr