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Senior Data Scientist
3 years ago

The Disney Media & Entertainment Distribution (DMED) Technology team is leading the streaming revolution by creating amazing new entertainment products. We are at the forefront of building new and exciting technologies that delight our guests with magical experiences every time they visit our trusted and beloved Disney brands, including ESPN, Marvel, ABC, ABC News, FX, National Geographic, and many more.

The data scientist will work in our dynamic, interdisciplinary team of data scientists, data engineers, and software engineers. They will have opportunities to work on tasks in any of these disciplines, insofar as they are qualified, but will be focused primarily on data science related tasks (feature engineering, model building, model validation, etc.). #LI-AU1 #CXPNGS


Responsibilities :


The Data Scientist is a critical position within DMED Technology who specializes in applying statistical methods to meet optimization, personalization, recommendations and efficiency related challenges, in close collaboration with engineering and business partners. You will be primarily focused on delivering value by developing algorithms that drive integral underlying functionality of our various entertainment services. In addition, throughout the algorithm development process, you will perform thorough data analyses and present these findings to stakeholders across the organization to deliver insights about our products and our customers. Collaboration is key to success at Disney, and you are expected to build bridges and maintain communication across various teams throughout any given project, so strong communication skills are a must.


Areas of responsibility may include, but are not limited to:


+ Translating business problems into an actionable data science project

+ Presenting analyses and models in a clear, easy to understand manner

+ Developing, deploying, and supporting machine learning models

+ Building reports and real-time dashboards for our stakeholders

+ Developing statistical experiments and analyzing the results

+ Process, cleanse, and verify the integrity of data

+ Participating in data validation efforts

+ Data discovery and exploration tasks


Basic Qualifications :


+ Masters degree in a quantitative discipline (statistics, data science, mathematics, economics, etc.)

+ 5-8 years of work experience in data science, statistics, or predictive analytics

+ Deep knowledge of statistical principles and the underlying data assumptions on which they rely

+ Hands-on experience with at least 3 of the following statistical models/techniques: recommendation systems, neural networks, optimization and simulation, churn models, logistic regression, linear regression, forecasting, A/B Testing, clustering and segmentation, etc.

+ Experience working with R, Python, SAS, or other statistical programming languages

+ The ability to effectively communicate technical ideas to both technical and non-technical audiences

+ Familiarity with databases and data retrieval, including SQL

+ A passion for data and technology


Preferred Qualifications :


+ Previous experience in entertainment

+ Knowledge of the video streaming industry

+ Hands-on experience with AWS or other similar cloud services

+ Demonstrated delivery of machine learning techniques in real-time applications


Required Education :


+ Graduate degree with background in statistics or machine learning.


**Job ID:** 7122930820220515

**Location:** Seattle,Washington

**Job Posting Company:**
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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