- Modeling : Apply innovative 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 build common understanding of how users are interacting with the service and content.
- Visualization of Insights: Development of prototype solutions, mathematical models, algorithms, and robust analytics leading to impactful insights communicated clearly and visually.
- Partnership : Partner closely with business collaborators to identify and unlock opportunities, and other data partners to improve platform capabilities around data modeling, data visualization, experimentation and data architecture.
- Bachelors or Master's degree in a quantitative field (e.g. Computer Science, Engineering, Mathematics, Physics, Operations Research, Econometrics, Statistics)
- 5+ 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 advise 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)
- Master's or PhD in Computer Science, Engineering, Statistics, Economics, Physics or related quantitative field (e.g. Econometrics, Mathematics, Operations Research)
- Solid understanding 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
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Senior Data Scientist - Santa Monica, United States - The Walt Disney Company
Description
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. Are you someone who loves to work cross-functionally, build models, perform statistical analysis, and create visualizations to provide scalable and iterative capabilities? If so, then this is a phenomenal role for you
Responsibilities
This role is integral to maintaining and improving email personalization models and pipelines, in addition to modeling engagement and content affinity.
Basic Qualifications
Preferred Qualifications
The hiring range for this position in Santa Monica, CA is $136,038 to $182,490 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:
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 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.
