Manager of Data Science

Company Description

Join our team at Jellyfish. We have an exciting opportunity for a Data Science Manager to support our expanding Data Science practice in our Mexico team.

We're devoted to providing a platform for talent to shine, where everyone can shape and develop their own career in a way that suits them.

At Jellyfish, our people are our largest asset. The experiences and unique insights that each person brings are what create the culture we are immensely proud of. This culture is reflected in all of our offices globally as we continue to build one of the world's fastest-growing teams of digital experts.

We collaborate with some of the world's biggest brands and, as Google’s leading global partner, we provide the appropriate technology, strategy, and training while building robust relationships.

Our four values:

• Be Positive: do you strive to see the best in every situation and perceive challenges as learning opportunities?
• Be the Solution: do you appreciate finding unique solutions as part of a problem-solving team?
• Be Accountable: do you trust in owning your work and desire to work with a team that empowers one another to deliver their best?
• Be Passionate: do you love what you do and wish to work with a team that nurtures your growth?

If you answered yes to the above questions and want to be part of our dynamic team, we’d love for you to join us on our journey as One Jellyfish.

Job Description

About the role

We have a unique opportunity for an ambitious and talented Data Scientist Intern to join our team and assist in the Machine Learning and Artificial Intelligence applications Jellyfish uses to drive thought leadership, innovate, and transform solutions and services for our clients.

As a data science manager, you will work in a fast-paced, cross-functional team interacting with a wide range of stakeholders. You will work with large and complex datasets of structured and unstructured data, build and implement models and algorithms, and design and run experiments to optimize media and customer experience. The ideal candidate will have relentless curiosity about various business problems and a passion for creating data-driven solutions to those challenges.

You will work closely with one of our main retail accounts to help them analyze, manage and leverage large data sets to create models and insights to improve campaign performance.

Qualifications

Basic Qualifications

To excel in this role, you should possess:

• BS in Computer Science, Mathematics, Physics, or related fields.
• Hands-on experience with building machine learning models
• Programming proficiency in Python and SQL.
• Experience with visualizing data using Matplotlib, Data Studio, Looker, or Tableau.
• Demonstrable skills in creative problem-solving with a keen attention to detail.
• Clear, concise and engaging communication skills, along with an ability to translate and distill complex analysis into actionable insights that clients will understand.

Preferred Qualifications

In addition to the basic qualifications, the following are preferred:

• MS or Ph.D. in Computer Science, Mathematics, Physics, or related fields.
• A broader understanding of the marketing ecosystem and measurement framework, including but not limited to paid display, search, social, video, organic, web, and app.
• Experience in analyzing media and web data, such as Google Ads, Campaign Manager, Facebook, and Google Analytics.
• Experience with media measurement solutions, such as media mix modeling, incrementality, and attribution models.
• Demonstrable skills in problem-solving of complex and advanced technical subjects.

Key Attributes

To thrive in this role, you should embody the following attributes:

• Superb problem-solving skills
• Attention to detail, data skeptic, ensuring accurate and quality results
• A curious thinker who displays interest in a wide range of business and technical subjects
• Proactive, passionate about building data and innovation solutions
• Excellent written and verbal communication skills; Communicate efficiently and effectively with both technical and non-technical audiences

Additional Information

Benefits

• Flexible hybrid working 40% onsite, 60% WFH
• Annual Bonus
• Training and Development
• Life Assurance
• Employee Assistance Programme - Counseling