Data Scientist (PH)

Key Skills

3D data processing, AWS, Data Analysis, Data Engineering, Data science techniques, Data Visualization, Docker, Google Cloud Platform (GCP), Java Programming, Kubernetes-K8s, Machine learning techniques, Python Programming, Scala Programming, Snowflake, SQL, Statistics

Job Description

Our mission is to innovate and create experiences that delight, engage, and retain our guests on Disney+, Hulu, Star+, ESPN and ABC. We build foundational platforms that enable us to scale experiences with guest volume and the diversity of use cases across our brands. This team drives personalization and connects consumer and content data across Sports & Entertainment. We develop ML algorithms, recommendation engines, and AB testing platforms that support the business’s ever-growing need for delivering personalized experiences and achieving measurable results. Role In this role you will partner with our dynamic, interdisciplinary team of data scientists, data engineers, and software engineers to help create and manage datasets, conduct data exploration and feature engineering, develop and deploy models, build data visualization and analysis dashboards, and conduct AB tests.

Responsibilities:

• Translate business problems into an actionable data science project
• Present analyses and models in a clear, easy to understand manner
• Develop, deploy, and support models
• Build reports and real-time dashboards for our stakeholders
• Develop statistical experiments and analyzing the results
• Process, cleanse, and verify the integrity of data
• Participate in data validation efforts
• Data discovery and exploration tasks
• Drive and maintain a culture of quality, innovation and experimentation
• Work in an Agile environment that focuses on collaboration and teamwork

Basic Qualifications:

• Bachelor's degree in degree in a quantitative discipline (statistics, data science, mathematics, economics, etc.) Master's degree preferred.
• 3+ years of work experience in data science, statistics, or predictive analytics
• Deep knowledge of statistical principles and underlying data assumptions on which they rely
• 1+ year hands-on experience with at least 2 of the following: recommendation systems, deep learning, reinforcement learning, churn modeling, subscriber growth modeling, clustering/segmentation, etc.
• Understanding of software development lifecycle
• Experience working with Python, SQL and other coding languages
• The ability to effectively communicate technical ideas to both technical and non-technical audiences
• Experience with large-scale distributed data processing systems, cloud infrastructure such as AWS or GCP, and container systems such as Docker or Kubernetes
• Experience loading and querying cloud-hosted databases such as Snowflake Preferred Qualifications:
• Knowledge of the Python/Scala/Java data ecosystem
• Previous experience in entertainment
• Knowledge of the video streaming industry
• Demonstrated delivery of machine learning techniques in real-time applications

The hiring range for this position in California is $112,586.00 to $151,030.00 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 The Walt Disney Company:

The Walt Disney Company, together with its subsidiaries and affiliates, is a leading diversified international family entertainment and media enterprise with the following business segments: Disney Entertainment, ESPN, Disney Parks, and Experiences and Products. 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 Technology LLC, which is part of a business we call Disney Media & Entertainment Distribution.