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Cloud Director (Data Science)

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 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 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 derive 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, fostering 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 programs with broader business goals to enhance marketing effectiveness, optimize ad spend, and drive return on investment.
  • Working knowledge of data visualization 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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What You Should Know About Cloud Director (Data Science), Jellyfish

At Jellyfish, we’re excited to bring on a Cloud Director (Data Science) to our vibrant Bangalore team! If you’re looking to make a significant impact in the world of digital marketing through advanced machine learning and data analytics, this is the role for you. As part of our rapidly growing Cloud team, you’ll have the chance to leverage Google Cloud Platform to design, develop, and enhance machine learning models that supercharge campaign effectiveness and maximize marketing ROI. You’ll collaborate with diverse teams, integrating various marketing data sources like Google Ads and CRM data to derive actionable insights. Your innovative spirit will shine as you establish automated workflows for deploying and monitoring machine learning models, and mentor fellow team members in advanced data science techniques. We value creativity and fresh ideas, so you’ll have the freedom to research, experiment, and implement the latest technologies to push marketing science to new heights. With our strong emphasis on a collaborative and inclusive workplace, your unique contributions are not just welcomed but celebrated. Join us at Jellyfish, where your professional development is crucial, and we'll support you with tools like LinkedIn Learning and ample paid leave for primary caregivers. If you’re ready to blend technology and creativity to redefine digital marketing, apply today and help us shape the future!

Frequently Asked Questions (FAQs) for Cloud Director (Data Science) Role at Jellyfish
What are the primary responsibilities of a Cloud Director (Data Science) at Jellyfish?

As a Cloud Director (Data Science) at Jellyfish, your main responsibilities include leading the design and deployment of machine learning models aimed at enhancing campaign effectiveness and audience segmentation. You will also optimize advanced analytics frameworks using tools like Vertex AI and BigQuery ML and collaborate with cross-functional teams to incorporate predictive and prescriptive analytics into our digital marketing strategies.

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What qualifications are needed for the Cloud Director (Data Science) role at Jellyfish?

To qualify for the Cloud Director (Data Science) position at Jellyfish, candidates should possess Google Cloud Platform (GCP) technical certifications and have extensive hands-on experience with GCP services such as Vertex AI and BigQuery ML. Proficiency in SQL, Python, and familiarity with data transformation tools is essential, along with leadership skills to mentor team members and drive a culture of innovation.

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How does the Cloud Director (Data Science) role impact marketing performance at Jellyfish?

The Cloud Director (Data Science) role directly influences marketing performance at Jellyfish by developing machine learning models that enhance ad campaigns and optimize return on investment. By utilizing sophisticated data analytics and predictive models, you’ll drive insight-based decisions that lead to more effective marketing strategies.

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What tools and technologies does the Cloud Director (Data Science) at Jellyfish work with?

In the Cloud Director (Data Science) position at Jellyfish, you will work with various tools and technologies such as Google Cloud services, including Vertex AI and BigQuery ML, as well as machine learning frameworks like TensorFlow and PyTorch. You’ll also utilize data visualization tools like Looker and Tableau to communicate insights effectively.

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What growth opportunities are available for the Cloud Director (Data Science) at Jellyfish?

At Jellyfish, growth opportunities for the Cloud Director (Data Science) include continuous professional development through presentations and mentorship, plus access to platforms like LinkedIn Learning. You’ll also have the opportunity to lead projects, mentor team members, and engage in innovative research to further advance your skills and career in data science.

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Common Interview Questions for Cloud Director (Data Science)
Can you explain your experience with Google Cloud Platform and its services relevant to the Cloud Director position?

When answering this question, highlight specific projects you’ve worked on using Google Cloud services, particularly where you've employed Vertex AI or BigQuery. Discuss the impact your work had on analytics and decision-making in past roles, providing quantitative outcomes when possible.

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How do you approach designing a machine learning model for marketing analytics?

Discuss your methodology in approaching machine learning model design, starting with problem definition, data collection, feature engineering, model evaluation, and deployment. Emphasize your experience with tools like TensorFlow and your understanding of the marketing context.

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What techniques do you use for audience segmentation in digital marketing?

Detail your familiarity with clustering algorithms and methods such as K-means or decision trees for audience segmentation. Include your experience in analyzing data from sources like CRM and Ad networks that translate into actionable segments for marketing purposes.

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Can you give an example of a successful project that utilized advanced analytics to improve marketing performance?

Share a relevant project where you successfully implemented advanced analytics to solve a marketing challenge. Include specifics about your role, the analytics methods used, and any measurable results that highlight the success of the initiative.

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How do you ensure reproducibility and best practices in machine learning workflows?

Talk about the specific practices you follow to maintain reproducibility, such as version control for datasets and code, use of containerization technologies, and following MLOps principles. Mention any frameworks or tools you employ to optimize these processes.

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What challenges have you faced when deploying machine learning models in a marketing context?

Discuss specific challenges such as data quality issues, integration of disparate data sources, or model performance after deployment. Explain how you addressed these challenges through innovative solutions or systematic problem-solving.

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How do you mentor team members in data science and machine learning?

Describe your approach to mentorship, whether it’s through regular check-ins, providing educational resources, leading workshops, or fostering a collaborative learning environment. Illustrate with examples where your mentorship directly contributed to team growth.

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Discuss your experience with data visualization tools in presenting analytics results.

Share your experience using specific data visualization tools like Tableau or Looker to present analytics results. Talk about how visual storytelling helped stakeholders understand data insights and drive decisions in your past roles.

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What strategies do you employ for continuous research and development in data science?

Elaborate on your commitment to staying updated with the latest trends in data science, including attending conferences, engaging with online courses, or contributing to projects within the community. This shows your proactive mindset in furthering your knowledge.

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How do you analyze and derive insights from large-scale marketing datasets?

Discuss your methodology for handling and analyzing large datasets, including data extraction, cleaning, and analysis techniques you use. Reflect on tools like BigQuery and any programming languages or libraries that you leverage for analysis.

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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 mor...

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Full-time, hybrid
DATE POSTED
January 10, 2025

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