Manager, Data Science

Job Posting Title:

Manager, Data Science

Req ID:

10122660

Job Description:

BUILD SOMETHING BIGGER THAN YOURSELF 

The Walt Disney Company, together with its subsidiaries and affiliates, is a leading diversified international family entertainment and media enterprise with the following business segments: Disney Entertainment, ESPN, Disney Parks, and Experiences and Products. From humble beginnings as a cartoon studio in the 1920s to its preeminent name in the entertainment industry today, Disney proudly continues its legacy of creating world-class stories and experiences for every member of the family. Disney’s stories, characters and experiences reach consumers and guests from every corner of the globe. With operations in more than 40 countries, our employees and cast members work together to create entertainment experiences that are both universally and locally cherished.

How will you contribute to our magical experience?

The Manager, Data Science will join the team to lead a team focused on leveraging data and advanced analytics to drive strategic decision-making and enhance user experience.

This role should understand subscriber behavior, predict churn, and optimize various aspects of the subscriber lifecycle, framing business problems to identify appropriate analytics techniques.

The overall purpose is to provide actionable insights and build data solutions that drive business growth, improve customer retention, and optimize operational efficiencies.

The Manager, Data Science will be responsible for:

• Lead and mentor a team of data scientists to develop and implement models that predict subscriber behavior and preferences.  
• Foster a collaborative environment that encourages innovation and continuous improvement.  
• Build and operate a suite of propensity models to predict subscribers’ next moves, such as churn, upgrades, content consumption, and reacquisition.  
• Partner closely with Subscriber Analytics, Finance, Business Operations, Product, and Engineering teams to develop models for various challenges.
• Provide actionable insights to help understand, for example, why users churn, which users are likely to upgrade, and how to increase the likelihood of content consumption.  
• Oversee significant projects and tasks, ensuring they are completed on time and to a high standard.  
• Manage project timelines, resources, and budgets to achieve desired outcomes. 

What we need from you to be part of this story:

• 5+ years of proven experience in data teams.
• Graduates in Mathematics, Actuarial Science, Statistics, Engineering, Economics, Finance, Accounting, or similar fields.
  Master’s/Postgraduate degree in Analytics or Data Science is a plus.
• Proficiency in programming languages (R, SQL, and Python).
• Expertise in data visualization tools such as Looker, Tableau, Power BI.
• Strong knowledge of Machine Learning and Deep Learning techniques. Ability to interpret quantitative information and communicate insights effectively to non-technical stakeholders.
• Demonstrated leadership and project management skills, including budget and resource management.
• Advanced level of English.

 Additional Information:

At Disney, we believe it takes great people to create the memorable experiences, products and services our consumers know and love. We are a team of storytellers and hire under equal opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, disability and gender identity. We foster a corporate culture of belonging and inclusiveness, which empowers our staff and company to thrive. At Disney, everyone has the opportunity to speak up and participate, grow and share ideas.

“You can design and create, and build the most wonderful place in the world. But it takes people to make the dream a reality.” Walt Disney

Job Posting Segment:

LATAM DTC

Job Posting Primary Business:

LATAM DTC - Data Science

Primary Job Posting Category:

Data Science

Employment Type:

Full time

Primary City, State, Region, Postal Code:

Buenos Aires, Argentina

Alternate City, State, Region, Postal Code:

Date Posted:

2025-06-27