Associate Data Scientist
Apply Now Apply Later Job ID 10138200 Location New York, New York, United States Business Disney Entertainment Television Date posted Dec. 22, 2025Job Summary:
Would you like to be part of the interdisciplinary team providing vital insights into the rapidly evolving media landscape for Disney’s suite of television networks (ABC, ESPN, etc.) and direct-to-consumer (DTC) streaming services? Join our Data & Analytics Operations team, whose mission is to develop, support, and improve analytics operations by delivering data-driven applications that drive efficiencies across the Research, Insights & Analytics group in Disney Entertainment (DE).
We highly value statistical modeling and machine learning approaches—including cross-media measurement and activation across linear, streaming, and digital platforms. We balance advanced methods with pragmatic, classical ones that focus on strong business context, merging the science with the craft. Additionally, we incorporate and deploy modern GenAI-assisted workflows to accelerate analysis and documentation within established privacy and governance standards.
Job Summary:
As a Data Scientist on the Disney Entertainment (DE) Research, Insights & Analytics team, you’ll develop and improve predictive models that inform advertising and audience dynamics across Disney’s television networks and DTC streaming services (Disney+, Hulu, ESPN+). Primary focus will be viewership and impressions forecasting—built in partnership with Linear and Digital forecasting teams—to optimize Ad Sales yield and support the DTC and Linear P&Ls. You’ll extend this work into cross-media measurement and activation as a whole, delivering clear communications of model accuracy, results, and business impact.
You’ll contribute to production-level data-science pipelines and monitoring of models (clean, well-tested Python/SQL; versioning, and QA) and help enhance analysis of complex data for partners in Research, Content, Ad Sales, and Forecasting. You’ll responsibly leverage and deploy AI workflows to improve quality, speed, and depth of analysis—validating outputs before use.
Responsibilities and Duties of the Role:
Machine Learning and Statistical Modeling: Design and develop predictive and generative model pipelines by leveraging classical data science and modern AI/ML to impact and measure KPIs; analyze drivers of change and implement improvements that enhance accuracy and stability of cross-media measurement and advance analytics.
Data Quality: Ensure data is clean and trustworthy; investigate and escalate anomalies; perform robust feature engineering and data prep across linear and streaming sources; contribute to source-of-truth definitions.
Applications and Communications: Build visualizations and applications to share results with business stakeholders in an easily digestible, sustainable, and automated manner; Analyze data to identify patterns and uncover opportunities.
Collaboration: Partner closely with peers and business stakeholders to identify and unlock opportunities. Collaborate with other data teams to improve capabilities around data modeling, data platforms, and data visualizations.
Process Improvement: Drive innovation by exploring new statistical techniques and brainstorming ways to optimize existing infrastructure and make processes even better.
Operations: Apply Agile principles via participating in standups, sprint planning, writing business requirements documents, and retrospectives; Participate in an “Open Source” learning environment where sharing, documenting, teaching, and collaborating with others is the culture.
Required Education, Experience/Skills/Training:
Basic Qualifications:
Proficiency in SQL and Python (e.g., pandas, numpy, scikit-learn) for data analysis.
Experience designing and implementing predictive models (e.g., regression, time series, decision trees, XGBoost, clustering).
Experience working with Git and collaborative development practices.
Experience with data visualization tools and applications (e.g. Tableau, plotly, Streamlit)
Ability to communicate clearly with technical and non-technical audiences.
User/Client orientation; strong interpersonal skills that build trust across teams.
Comfort with messy data and flexibility in dynamic environments.
Experience responsibly using AI-assisted workflows with validation.
Preferred Qualifications:
Experience with ETL, data pipeline management, and cloud infrastructure for managing large amounts of data (e.g. AWS, PySpark, Snowflake, Airflow, Databricks);
Experience using web frameworks (Django) and JavaScript libraries (ReactJS, JQuery) to build professional frontend and backend web applications focused on user experience;
Experience building internal tools that help teams operationalize analytics (e.g., small Streamlit/Gradio utilities, scheduled batch jobs).
Exposure to managed LLM/AI services inside analytics platforms is a plus.
Required Education:
- A Bachelor’s Degree in Computer Science, Statistics, Data Science, Mathematics, Econometrics, Cognitive Science, or equivalent substitute.
The hiring range for this position in New York, NY is $102,100 to $136,900 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.
About Disney Entertainment Television:
Disney Entertainment Television is a collection of renowned content brands at The Walt Disney Company creating original entertainment and news programming for the company’s streaming platforms Disney+, Hulu and Star, and its broadcast and cable networks. Its extensive portfolio is comprised of ABC Entertainment, ABC News, ABC Owned Television Stations, Disney Branded Television, Freeform, FX, Hulu Originals, National Geographic Content and Onyx Collective, in addition to Disney Television Studios, which include 20th Television, 20th Television Animation, ABC Signature and Walt Disney Television Alternative. Responsible for over 4,500 hours of programming a year across more than 300 programs of all genres, Disney Entertainment Television’s creative brands are at the forefront of groundbreaking storytelling, captivating audiences and generating critical acclaim. In 2023, Disney Entertainment Television’s programming excellence earned 163 Emmy® nominations across daytime, primetime, news & documentary, and children’s & family categories.
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 American Broadcasting Companies, Inc., which is part of a business we call Disney Entertainment Television.
American Broadcasting Companies, Inc. 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.
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