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Data Scientist

Jellyfishcareers

🌍 North America 🏠 Remote ⏱ Part-time 💼 Mid-level 🗓 5 weeks ago

At Jellyfish we believe that our individual differences are our greatest assets. We are passionate about empowering every employee to reach their full potential and contribute their unique perspectives to our collaborative environment. We are an equal opportunity employer and firmly believe that a diverse and inclusive workforce drives innovation and leads to better solutions. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other personal characteristics that make them who they are.

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,...

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