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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.
Your primary responsibilities will include:
- 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.
- Integrate and analyse marketing data sources such as Google Ads, Google Marketing Platform, and CRM data to find applicable insights.
- 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
- Have one or more Google Cloud Platform (GCP) technical certifications.
- Extensive hands-on experience with GCP services, Vertex AI, BigQuery ML, and AutoML
- Proficient in SQL, Python and frameworks like TensorFlow, PyTorch, or Scikit-learn.
- Experience with modern data transformation and orchestration tools like dbt and Dataform to refine and improve data pipelines.
- Familiarity with datasets and APIs from platforms like Meta, Google Ads, and Salesforce Marketing Cloud.
- Align data science programmes with broader our goals to enhance marketing effectiveness, optimize ad spend, and drive return on investment.
- Working knowledge of data visualisation tools such as Looker, Tableau, and PowerBI.
- Leadership and mentoring skills, fostering a culture of innovation and continuous learning within cross-functional teams.
- Knowledge of server-side tagging (e.g., sGTM) is a plus but not mandatory.
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 receive a loyalty salary increase on your Jellyfish anniversary in addition to joining 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 to [email protected].
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