Lead Data Scientist

工作 ID 10105075 地點安那罕, 加利福尼亚州, 美國 有意工作的公司 Disney Experiences 日期已公佈 Nov. 22, 2024

申請

工作概要:

This is a Revenue Management Manager role that will be responsible for providing data science support across the Revenue Management & Analytics/Finance organization.

The Disneyland Resort Revenue Management & Analytics (RM&A)/Finance organization combines strategic and analytical thinking to drive commercial, financial, and operational value for Disney Experiences by shaping business decisions in Ticketing, Resorts, Merchandise, Food & Beverage, as well as all other lines of business in the core competencies of yield management, forecasting, pricing, promotions, optimization, and other predictive analytic techniques using mathematical and statistical approaches.

Candidates will have strong communication, partnering, and analytical skills and will have a natural curiosity to understand the “why” behind business performance. They’ll take a proactive role in problem-solving, be results-oriented, be able to prioritize, and be a team player in a collaborative environment.

Key Responsibilities:

• Problem-Seeker – Be curiosity driven; seek out business anomalies and patterns leveraging analytical tools and knowledge to shed light and gain understanding of the business to bolster strategies and initiatives

• Advanced Modeling – Lead the way in science innovation. Develop integrated predictive and prescriptive models that enhance forecasting and optimization analyses using advanced modeling techniques.

• Experiment Design – Uncover science-backed insights. Enable research and hypothesis-based testing cycles through scientific process design including structured peer review and recordation.

• Business Optimization – Approach the role from a strategic lens. Seek out opportunities to create business value through novel analyses. Prioritize efforts based on expected returns.

• Data Visualization – Leverage data visualization techniques, tools, and communication skills to present complex analytical findings in clear business terms that facilitate acceptance, decision-making, and execution by business partners and senior executives

• Business Optimization – Evaluate key business drivers to measure the success of commercial, financial, and operational decisions; and develop science-based approaches to help achieve business objectives and drive long-term strategic direction

• Project Management – Own projects from start to finish. Gather inputs and requirements from stakeholders, refine project parameters, track progress, escalate blockers, and prioritize effectively. Ensure stakeholder alignment and appropriate allocation of time and resources through an iterative approach.

• Best Practices – Act as data science subject matter expert. Use expertise to provide guidance to junior colleagues on their projects and analyses. Establish data science standards and toolkit for RM&A.

Basic Qualifications:

• Four plus years of work experience using Python or R to build predictive models and conduct statistical testing with sound experimental design

• In-depth understanding of modern machine learning techniques and theory

• Proficiency with relational databases and SQL programming

• Ability to conduct effective feature engineering by leveraging business knowledge and statistical techniques

• Ability to assess tradeoffs between time, complexity, and return when determining methodology

• Ability to prioritize effectively and set clear expectations with partners/leaders

• Ability to effectively communicate technical concepts and results to non-technical audiences

• Ability to clearly explain, document, and present coding designs to end users

• Experience influencing business decisions and strategy using effective storytelling

• Strong written and verbal communication skills

Preferred Qualifications:

• One plus year of experience with simulation and/or experiment design and execution

• Prior experience with pricing, revenue management, and/or forecasting

• Understanding of revenue management concepts (e.g., dilution, displacement)

• Prior experience with development of data structures within cloud environments, including remote database management, basic data ETL development, and version control

• Proficiency with Tableau

Education Requirements

• Required: Bachelor’s degree in Data Science, Statistics, Business Analytics, Mathematics, Economics, Engineering, Econometrics, or other quantitative fields

• Strongly preferred: Master’s degree in a technical field with basis in value extraction from data (Data Science, Statistics, Business Analytics, etc.)

The hiring range for this position in California is $137,100 to $167,500 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.

申請

關於Disney Experiences:

Disney Experiences 透過世界各地的主題公園、度假村、郵輪、獨特的度假體驗、產品等，將迪士尼故事和特許經營權的魔力帶入生活。迪士尼在旅遊業中大放異彩，在美國、歐洲和亞洲擁有六大度假勝地；一流的郵輪航線；廣受歡迎的度假擁有權計劃；以及屢獲殊榮的家庭探險導遊業務。此外，迪士尼的全球消費品業務還包括全球領先的授權業務、全球最大的兒童出版品牌、全球最大的跨平台遊戲授權商之一，以及遍佈全球和網絡的迪士尼商店。

關於 The Walt Disney Company:

Walt Disney Company 連同其子公司和聯營公司，是領先的多元化國際家庭娛樂和媒體企業，其業務主要涉及三個範疇：Disney Entertainment、ESPN 及 Disney Experiences。Disney 在 1920 年代的起步之初，只是一間卡通工作室，至今已成為娛樂界的翹楚，並昂然堅守傳承，繼續為家庭中每位成員創造世界一流的故事與體驗。Disney 的故事、人物與體驗傳遍世界每個角落，深入人心。我們在 40 多個國家/地區營運業務，僱員及演藝人員攜手協力，創造全球和當地人們都珍愛的娛樂體驗。

這個職位隸屬於 Walt Disney Parks and Resorts U.S., Inc.，其所屬的業務部門是 Disney Experiences。

Walt Disney Parks and Resorts U.S., Inc. 是提供平等就業機會的僱主。求職者都會獲得聘僱考量的機會，不分種族、宗教、膚色、生理性別、性傾向、社會性別、性別認同、性別表達、原國籍、血統、年齡、婚姻狀態、軍人或退伍軍人身份、醫療狀況、遺傳資訊或殘疾狀況、或者聯邦、州級或地方法律所禁止的其他任何基本特徵。Disney 提倡讓所有人的想法和決策都有助我們發展、創新、創造最好故事的商業環境，並與瞬息萬變的世界息息相關。

就業申請的殘疾便利安排

The Walt Disney Company 及其聯營公司是推動平等就業機會的僱主，歡迎所有求職者，包括殘疾人士及殘疾退伍軍人。如你是殘疾人士，並需要合理便利安排以搜尋職位空缺或申請職位，請將要求發送至Candidate.Accommodations@Disney.com。本電郵地址不擬用於一般僱傭查詢或通訊。我們只會回應與網上申請系統殘疾人士無障礙功能相關的要求。

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