Senior Data Scientist

The Walt Disney Company • Santa Monica, CA • 21h ago

The Walt Disney Company Direct to Consumer's (DTC) Data Science team combines deep data analysis and research of our rich user data to present a compelling vision around user retention and preferences across the vast ecosystem of our product offerings and content.

We are the insights and modeling partners for the content, marketing, product, and engineering teams at Disney+, Hulu and ESPN+. As Data Scientists, we use data to empower decision-makers with information, predictions, and insights that ultimately influence the experiences of millions of users worldwide. If you are someone who loves to work cross-functionally, build models, perform statistical analysis, and create visualizations to provide scalable and iterative capabilities, then this is a fantastic role for you!

WHAT YOU'LL DO

This role will improve title-level content engagement forecasting models in addition to creating models for content targeting.

Modeling : Apply state of the art machine learning and statistical analysis to develop models related to opportunity sizing, targeting, and optimization.

Deep analysis : Analyze user behavioral data to identify patterns, uncover opportunities, and create common understanding of how people are interacting with the service and content.

Visualization of Insights: Development of proto@type solutions, mathematical models, algorithms, and robust analytics leading to impactful 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.

WHAT TO BRING

Bachelor's degree in advanced Mathematics, Statistics, Data Science or comparable field of study

5+ years related experience with developing machine learning models and conducting statistical analysis

Deep understanding of machine learning concepts and statistical methods

Ability to draw insights and conclusions from data to inform model development and business decisions

Desire to collaborate with other data scientists, data analysts, and key business partners

Proficient in analyzing data and developing ML models using Python (with ML frameworks like tensorflow, scikit-learn, etc.)

Capable of reading and writing Object-Oriented code to review and implement modeling pipelines (Airflow, Luigi, etc.)

Understanding of SQL and distributed data technologies (Hive, Spark)

NICE TO HAVES

MS or PhD in Computer Science, Engineering, Statistics, Economics, Physics or related quantitative field (e.g. Econometrics, Mathematics, Operations Research)

Working knowledge of Bayesian modeling and familiarity with probabilistic programming packages/language such as Stan, PyMC

Experience fully integrating data science solutions into the business and operationalizing ML models

DISNEYANALYTICS

DISNEYTECH

The hiring range for this position in Santa Monica, CA and Glendale, CA is $138,900 to $186,200 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.

Job ID: 10128433

Location: Santa Monica,California

Job Posting Company: Disney Direct to Consumer

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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