Manager Data Science

Job ID 10104161 Location New York, New York, United States Business Disney Direct to Consumer Date posted Nov. 08, 2024

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Job Summary:

About The Role

The Commerce Data Science team at Disney Streaming develops Machine learning solutions to drive subscription and monetization across our streaming platforms, including Disney+, Hulu and ESPN+. Data scientists are integral to Disney’s success, partnering with cross-functional teams (growth, content, marketing, product, and engineering) to provide ML solutions that shape the experience of millions of users worldwide.

We're seeking an experienced Manager of Data Science to lead data scientists focused on developing and deploying machine learning models that address business-critical challenges. In this role, you’ll work with teams across commerce, growth, and identity to leverage machine learning solutions that enhance the customer journey and drive the business forward.

Responsibilities

Lead Machine Learning Initiatives

Design, build, and optimize machine learning models that optimize commerce payment products.
Manage the full lifecycle of ML development, including data collection, feature engineering, model selection, evaluation, and production.
Collaborate with engineers to deploy models at scale, ensuring robust A/B testing frameworks to assess the impact on key business metrics.

Data Exploration & Insights

Dive deep into subscriber and payment data to uncover patterns and opportunities for growth and retention strategies.
Lead exploratory analyses and complex statistical modeling to deliver actionable insights that inform high-stakes business decisions.

Data Storytelling

Translate complex data into clear and actionable insights through visualizations, reports, and presentations tailored to both technical and non-technical stakeholders.
Drive data-informed decision-making by presenting findings that highlight business implications.

Strategic Collaboration & Leadership

Build and foster strong relationships with business partners across commerce, growth, marketing, and engineering.
Collaborate with other data teams to improve our data infrastructure, including models, visualizations, and experimentation capabilities.
Mentor and grow a high-performing team of data scientists, creating an environment that encourages learning and innovation.

Basic Qualifications

Bachelor’s degree in advanced Mathematics, Statistics, Data Science or comparable field of study
Proven track record of working with programming languages (e.g., Python, Spark, PySpark) and SQL
Expertise in ML libraries such as scikit-learn, SciPy, and related technologies.
Experience with modern data platforms and tools (e.g., Databricks, Jupyter, Snowflake, Airflow, GitHub).
Advanced statistical knowledge and excellent problem-solving skills, with a proven ability to translate data into actionable insights.
8+ years of experience in building, deploying, and evaluating real-world machine learning solutions.
2+ years of leadership experience

Preferred Qualifications

M.S. and/or Ph.D. in a quantitative discipline.
Experience working in subscription-based or streaming media businesses.

Additional Information

#DISNEYTECH

The hiring range for this position in New York City area is $175,800-235,700 per year, in Los Angeles, CA area is $167,700-$224,900 and in San Francisco Bay Area is $183,700,600-$246,400 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.

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About Disney Direct to Consumer:

Disney’s Direct to Consumer team oversees the Hulu and Disney+ streaming businesses within Disney Entertainment helping to bring The Walt Disney Company’s best-in-class storytelling to fans and families everywhere.

About The Walt Disney Company:

The Walt Disney Company, together with its subsidiaries and affiliates, is a leading diversified international family entertainment and media enterprise that includes three core business segments: Disney Entertainment, ESPN, and Disney Experiences. 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.

This position is with Disney Streaming Services LLC, which is part of a business we call Disney Direct to Consumer.

Disney Streaming Services LLC is an equal opportunity employer. Applicants will receive consideration for employment without regard to race, religion, color, sex, sexual orientation, gender, gender identity, gender expression, national origin, ancestry, age, marital status, military or veteran status, medical condition, genetic information or disability, or any other basis prohibited by federal, state or local law. Disney champions a business environment where ideas and decisions from all people help us grow, innovate, create the best stories and be relevant in a constantly evolving world.

DISABILITY ACCOMMODATION FOR EMPLOYMENT APPLICATIONS

The Walt Disney Company and its Affiliated Companies are Equal Employment Opportunity employers and welcome all job seekers including individuals with disabilities and veterans with disabilities. If you have a disability and believe you need a reasonable accommodation in order to search for a job opening or apply for a position, email Candidate.Accommodations@Disney.com with your request. This email address is not for general employment inquiries or correspondence. We will only respond to those requests that are related to the accessibility of the online application system due to a disability.

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