Company Description
Come and join our team at Jellyfish. We’ve got an exciting opportunity for a Data Science Manager to support our growing Data Science practice on our Mexico team.
We’re passionate about giving talent a platform to perform, where everyone can shape and grow their own career in the way that works for them.
At Jellyfish, our people are our biggest asset. The experiences and unique insights each individual brings to Jellyfish are what create the culture we are so proud of, and this culture is seen at every one of our offices around the globe as we continue to build one of the world's fastest-growing teams of digital experts.
We work with some of the biggest brands on the planet, and as Google’s key global partner, we provide the right technology, strategy, and training while fostering strong relationships.
Our four values:
- Be Positive: do you attempt to see the best in everyday situations and use challenges as learning experiences?
- Be the Solution: do you enjoy finding unique solutions with a problem-solving team?
- Be Accountable: do you believe in taking ownership of your work and want to work with a team that empowers each other to achieve their best?
- Be Passionate: do you enjoy what you do and want to work with a team that encourages your growth?
If you answered yes to the above 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 an exceptional opportunity for an ambitious and talented Data Scientist Intern to join our team and assist in the Machine Learning and Artificial Intelligence applications that Jellyfish uses to drive thought leadership, innovate, and transform solutions and services for our clients.
As a data scientist manager, you will work in a fast-paced cross-functional team interacting with a wide range of stakeholders. You will wrangle large and messy 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 a relentless curiosity about various business problems and a passion for inventing data-based solutions to those challenges.
Will work closely with one of our main retail accounts in order to help them analyze, manage and leverage large data sets in order 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 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 strong attention to detail.
- Clear, concise and engaging communications skills, and the ability to distill and translate complex analysis into actionable insights that a client 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 subject matters.
Key Attributes
To thrive in this role, you should embody the following attributes:
- Superb problem solving skills
- Attention to detail, data skeptic, ensure accurate and quality results
- A curious thinker who demonstrates interests 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 to 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
Equal Opportunity Employer: Jellyfish is committed to making adjustments in our recruitment process to enable you to demonstrate your full potential. Should you require reasonable accommodation, please fill out the form here__.
- Flexible working
- Annual Bonus
- Training and Development
- Life Assurance
- Employee Assistance Programme - Counseling