Lead Data Scientist

Job ID 10106158 Location New York, New York, United States / Santa Monica, California, United States / San Francisco, California, United States Business Disney Direct to Consumer Date posted Dec. 11, 2024

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Job Summary:

Data Scientists at Direct to Consumer are the insights and modeling partners for the growth, content, marketing, product, and engineering teams at Disney+, Hulu and ESPN+. They use data to empower decision-makers with information, predictions, and insights that ultimately influence the experiences of millions of users worldwide. Scientists on the team build models, perform statistical analysis, and create visualizations to provide scalable, persistent capability that is iteratively improved through direct interaction with cross-functional business partners.

As a Lead Data Scientist in the DTC (Direct-To-Consumer) Data Science team, you will be partnering closely with the Marketing, Subscriber Analytics, Finance, Business Operations, Commerce Product and Engineering teams to develop models for tackling a multitude of exciting challenges, including content/audience segmentation, customer lifetime value estimation, churn and upgrade prediction, signups and subscribers forecasting, fraud prevention and mitigation, payment optimization, causal inference, anomaly detection and much more! In this role you will also be working very closely with company executives and it requires the use of analytical abilities, business understanding, and technical savviness to identify specific and actionable opportunities to solve existing business problems through data modeling.

We are looking for someone with deep analytical and modeling expertise, a proven track record of thought leadership and eagerness to drive impact.

Responsibilities

Modeling: Design, build and improve machine learning models. Work end to end from data collection, feature generation and selection, algorithm development, forecasting, visualization and communicating of model results. Collaborate with engineering to productionize models. Drive experimentation to test impact of model based optimization.
Deep analysis: Develop comprehensive understanding of subscriber and payment data structures and metrics. Mine large data sets to identify opportunities for driving growth and retention of subscribers.
Visualization of Complex Data sets: Development of prototype solutions, mathematical models, algorithms, and robust analytics leading to actionable insights communicated clearly and visually.
Partnership: Partner closely with business stakeholders to identify and unlock opportunities, and with other data teams to improve platform capabilities around data modeling, data visualization, experimentation and data architecture.

Basic Qualifications

Bachelor’s in Advanced Mathematics, Statistics, Data Science or comparable field of study.
7+ years of experience designing, building, and evaluating practical machine learning solutions
Strong coding experience in one (or more) data programming languages like Python/R, additional experience with scientific libraries like Numpy, Pandas, or equivalent libraries a plus.
Strong background in statistical modeling: regression, time series analysis and other techniques.
Experience developing scalable mathematical models and solving complex quantitative problems that can be understood by non-mathematical colleagues.
7+ years experience with databases and data pulling tools (SQL, Vertica, Hive).
Willingness to adapt in fast-paced and quickly growing work environment.
Seasoned & resourceful problem solver who figures out how to get things done, even if it means navigating through ambiguity

Preferred Qualifications

Advanced degree (Master’s or Ph.D.) in a quantitative discipline
Excellent analytical skills, advanced level of statistics knowledge
Strong expertise with Python and libraries such as scikit-learn, scipy *
Familiarity with Bayesian modeling and probabilistic programming packages such as PyMC
Familiarity with data platforms and applications such as Databricks, Jupyter, Snowflake, Airflow, Github
Familiarity with data exploration and data visualization tools such as Tableau, Looker
Familiarity with designing and analyzing A/B testing and other experiment types
Demonstrated skills in selecting the right statistical tools given a data analysis problem
Ability to adapt quickly in a fast-moving environment with shifting priorities
Strong communication skills, for both technical and non-technical audiences
Ability to handle multiple tasks concurrently and in a timely manner, including large and complex ones
Demonstrated leadership experience, including people and project management
Experience in advanced ML techniques (neural nets, NLP, image processing)
Experience thinking strategically to interpret market and consumer information, preferably about a subscription service.

Additional Information

#DISNEYTECH

The hiring range for this position in New York, NY is $159,500 to $213,900 per year and in Santa Monica, CA is $152,200 to $204,100. 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.

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