Machine Learning Engineer

The Customer Engagement (CE) team delivers powerful customer experiences across marketing touchpoints by using data and tools to bring marketing to life. The CE Analytics – Manager I will report to the Manager, CE Advanced Analytics, who leads both the Advanced Analytics and Business Intelligence functions within the Customer Engagement – Direct Channel organization.

Overview

This Data Science-focused role on the CE Advanced Analytics team consists of the following functions: Developing analyses, predictive models, self-service end-user tools, dashboards, and workflows demonstrating Machine Learning algorithms and innovative technologies such as Snowflake, Dataiku, and Tableau. This role will also work with multi-functional partners to showcase insights while recommending applications that advance CE Marketing and Audience strategies. This role will also lead the development of plans, communications, and timelines for individual projects using the Agile framework.

Solutions

• Build predictive models on guest behavior; examples include: likelihood to purchase, likelihood to engage with a marketing message, or estimating spend
• Design and conduct statistical experiments (ex. A/B testing) to measure the efficiency of our audiences
• Mine for insights by using exploratory data analysis or interpreting model results
• Develop self-service end-user tools and dashboards to help partners understand audience behavior, audience performance and contactibility
• Promote products to production and maintain products in production to ensure availability in activation

Consulting

• Work with cross-functional partners to find efficiencies, understand requirements and goals, deliver optimal products, and implement.
• Find opportunities to develop or use analytics to meet a business objective
• Work with technical partners to source new data or resolve issues with existing data
• Showcase insights and educate partners on developed products, which highlight advancing CE strategies and contributing.
• Develop plans and timelines for individual projects by working in agile framework to deliver work products in sprints. Leverage tools such as Jira and Airtable to track and catalog work, and communicate progress to direct leadership.

QUALIFICATIONS

We are looking for demonstrated experience applying data science modeling techniques and proper statistical testing methodology to guest behavior (resorts, cruises, theme park tickets, merchandise) and Marketing engagement. We desire someone who is comfortable planning, researching, and creating solutions.

• Bachelor’s degree in Data Science, Statistics, or similar degree
• 2+ years of experience using programming languages (Python or R preferred) to build predictive models and to conduct statistical testing with sound experimental design
• 2+ years of experience using SQL (Teradata, Hive, or Snowflake)
• 2+ years of experience with Machine Learning algorithms and statistical methods including classification models such as logistic regression and decision trees, and segmentation models such as clustering and scoring.
• Experience using Machine Learning platforms such as Dataiku, DataRobot, or Databricks
• Experience communicating technical work to non-technical partners

Optional

• Experience using the following machine learning libraries: Scikit-Learn, MLLib, or H2O.ai
• Experience using Tableau, Microsoft Power BI, or Qlik

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About Disney Experiences:

Disney Experiences brings the magic of Disney stories and franchises to life through theme parks, resorts, cruise ships, unique vacation experiences, products and more around the world. Disney shines in the travel industry with six resort destinations in the United States, Europe and Asia; a top-rated cruise line; a popular vacation ownership program; and an award-winning guided family adventure business. Plus, Disney’s global consumer products operations include the world’s leading licensing business; the world’s largest children’s publishing brands; one of the world’s largest licensors of games across all platforms; and Disney store locations around the world and on the web.

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 Destinations, LLC , which is part of a business we call Disney Experiences .

Disney Destinations, 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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