Lead Data Scientist

Company Description

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 create 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 VP, we are looking for a Cloud Director to work in our Bangalore office. You will be positioned within the growing Cloud team, working with Google Cloud Platform to build, deploy, and optimize machine learning models and advanced analytics solutions that improve digital marketing performance. The ideal candidate for this position should have an analytical foundation in Marketing, with experience working with : Cross channel attribution, Marketing mix / media mix modeling and Top-down / bottom-up attribution modeling.

Your primary responsibilities will include :

• Integrate and analyse marketing data sources such as Google Ads, Google Marketing Platform, and CRM data to find applicable insights.
• Dedicate time to explaining and advocating the use of data science methodologies, particularly Media Mix Models, and ensure they drive improved campaign performance for existing clients by delivering measurable results and actionable insights.
• Work closely with platform partners to grow the suite of mathematical techniques for Media Mix Models, leveraging both open-source and in-house code to create a best-in-class offering for clients.
• Lead the design, development, and deployment of machine learning models tailored to improve campaign effectiveness, audience segmentation, and marketing return on investment.
• Build and optimize advanced analytics frameworks on GCP using tools like Vertex AI, BigQuery ML, and TensorFlow.
• Collaborate with cross-functional teams to identify opportunities for predictive analytics and prescriptive modelling in digital marketing.
• Establish automated workflows for training, testing, deploying, and monitoring machine learning models.
• Develop scalable feature engineering pipelines that support multiple marketing use cases.
• Implement cloud-based data architectures that ensure efficient storage, processing, and querying of large-scale datasets for analytics.
• Advocate for and enforce best practices in MLOps, ensuring reproducibility, reliability, and scalability in machine learning workflows.
• Mentor team members in advanced data science and machine learning techniques, encouraging a culture of innovation and continuous learning.
• Research and experiment with the latest technologies and methods to improve marketing science capabilities.

Qualifications

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.

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

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

Health Insurance : Jellyfish provides best in class group medical insurance & life insurance cover to employees

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