Data Science Manager

Reposted 3 Days Ago
Be an Early Applicant
2 Locations
Hybrid
Mid level
Marketing Tech
The Role
Lead data science solutions for paid media and investment analytics. Analyze data, identify trends, and provide actionable recommendations. Develop predictive models and advance incrementality testing, media mix modeling, causal impact studies, attribution, and data clean room applications. Collaborate with platform partners, present complex findings, improve campaign performance, and document scalable analytics processes.
Summary Generated by Built In

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.

🏦 Jellyfish contributes to your retiral benefits via Provident Fund (PF) contribution

Jellyfish provides best-in-class group medical insurance & life insurance cover to employees

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].

Skills Required

  • Programming proficiency in Python and SQL
  • 3-5 years of experience in a data role
  • Proficiency in data visualization using Tableau, Looker, Matplotlib, or equivalent tools
  • Knowledge of the marketing ecosystem and measurement frameworks across paid display, search, social, video, organic, web, and app
  • Experience analyzing media and web data using platforms such as Amazon Marketing Cloud, Google ADH, Campaign Manager, Meta, and Google Analytics
  • Familiarity with media measurement solutions, including media mix modeling, incrementality, and attribution models
  • Ability to identify and implement solutions that improve and automate processes
  • Understanding of machine learning concepts
  • Collaborative mindset and ability to work effectively in diverse teams
  • Strong problem-solving skills and ability to identify practical solutions collaboratively
  • Hands-on machine learning experience

Jellyfish (jellyfish.com) Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Jellyfish (jellyfish.com) and has not been reviewed or approved by Jellyfish (jellyfish.com).

  • Leave & Time Off Breadth Feedback suggests PTO and holidays are generous, with occasional extra company-wide days and some rollover flexibility. This breadth of time off is often viewed as a standout element of the package.
  • Flexible Benefits Feedback suggests hybrid/remote options and flexible work arrangements are meaningfully available. Job materials and role descriptions underline the ability to work away from the office part of the time.
  • Retirement Support Feedback suggests a 401(k) with a company match is available in the U.S. Some accounts describe the match as strong for the agency market, with immediate vesting noted.

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The Company
HQ: London
2,204 Employees
Year Founded: 2005

What We Do

Jellyfish is a new kind of marketing performance company for the platform world, where success demands a creative, multi-platform mindset. We help brands thrive, by navigating, connecting, and harnessing the platforms that drive growth. We’re more than the same logo over every door. Our unique global structure combines platform understanding with tech, media, creativity, and data expertise. We make amazing things happen at the pace the platforms demand. We’re proud to help shape the future of some of the world’s best brands - from ecommerce and CPG, to entertainment and gaming. Our unique, decade-long, multi-region Google partnership delivers across GMP, Cloud, and Training. We’re a Salesforce Consulting Partner, and one of the industry’s most extensively certified teams across Amazon. We can help you unlock your full potential across Meta technologies across the globe. Including training, creative, paid social, and analytics We know how important it is to find, develop, and deploy the best digital talent. So we’re equally passionate about giving our talent a platform to perform, which everyone can shape and make their own as they progress. From nurturing diverse new talent within our Jellyfish Academy, to investing in proprietary technology that can cast and connect the best teams, globally and seamlessly. If you want to find out more about our latest career opportunities - wherever you are in the world - do get in touch.

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