Senior Data Scientist
Disney Parks & Resorts
Job Description
At Disney, we‘re storytellers. We make the impossible, possible. We do this through utilizing and developing cutting-edge technology and pushing the envelope to bring stories to life through our movies, products, interactive games, parks and resorts, and media networks. Now is your chance to join our talented team that delivers unparalleled creative content to audiences around the world.
“We make magic.” That’s our motto at Walt Disney Parks and Resorts. And it permeates everything we do. At Disney, you’ll help inspire that magic by enabling our teams to push the limits of entertainment and create the never-before-seen!
The Senior Data Scientist will develop strategies for how to leverage data to improve WDPR's capabilities for delivering integrated, one-to-one Guest experiences at any touch point. He/she will mine data (structured, unstructured, transactional, big data, etc.) to detect patterns, opportunities and insights with one-to-one personalized engagement as the final goal. Develop and implement advanced decision engines for consistently personalizing content, recommendations and next-best-actions. Lead the collaboration of WDPR partners to ensure the decision engine development and optimization are coordinated for optimal Guest experience and WDPR revenue.
Responsibilities
- Provide strategic direction for development of advanced decisioning and analytics to support business needs.
- Research, design, develop, implement and support decision science models for personalization of message content and next-best-action recommendations at Guest engagement points.
- Perform exploratory data analytics to identify patterns in Guest behaviors and preferences.
- Lead collaboration across the WDPR partners to coordinate decision engines development, and optimize the usage of the existing decision engines.
- Serve as decisioning SME offering analytical consultation, market best practices and solutions to achieve business goals and objectives.
- Provide oversight of the decision engine implementation into the NICE Causata decisioning tool.
- Provide day-to-day leadership for the team
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Basic Qualifications
- 7+ years with proven experience in decision science, math, multivariate modeling, statistics, predictive analytics, big data analytics, exploratory data analysis to drive significant business impact
- Strong knowledge of decision engines and machine learning algorithm creation and optimization
- Experience working with high-volumes of structured and unstructured data, from varying sources, to detect patterns
- Experience with web analytics tools such as Omniture, Google Analytics, Webtrendes, etc.
- Familiarity with relational databases and SQL-like query languages
- Expert knowledge of a scientific computing language such as R or Python
- Capable of delivering creative solutions and socializing complicated concepts to both technical and non-technical partners
- Good business acumen with strong ability to solve business problems through data driven quantitative methodologies and provide concise thoughts into proposals, recommendations and findings
- Demonstrated strong written, verbal communication, and presentation skills
- 5+ years of leading a team responsible for data analysis
Preferred Qualifications
- Travel/Hospitality industry experience.
- Experience with Causata, or NICE Customer Engagement Analytics tool.
- Knowledge of marketing, specifically these disciplines: direct (email, direct mail), digital, social.
Required Education
- Master’s degree in Statistics, Industrial Engineering, Mathematics, Decision Science, Econometrics, or related fields
Preferred Education
- PhD in Statistics, Econometrics, or related fields
Full Time