Sr Analytics Engineer

工作 ID 10105345 地點伯班克, 加利福尼亚州, 美國 有意工作的公司 The Walt Disney Studios 日期已公佈 Nov. 22, 2024

申請

工作概要:

Marketing Science is an applied science team within The Walt Disney Studios Marketing organization. The team is interdisciplinary and cross-functional. Members of the team draw on knowledge and expertise from a wide range of academic disciplines, but primarily in areas related to applied mathematics and the social sciences, in order to advance data-driven marketing at The Walt Disney Studios. Depending on their backgrounds and interests, they may engage in market research, experimentation, forecasting, causal measurement, optimization, or data-related automation and data product development. Marketing Science is a part of The Walt Disney Studios Performance Marketing and is closely integrated with Performance Marketing operations. Members of the Marketing Science team generally learn about the advertising and marketing technologies that connect these operations in order to find opportunities to improve marketing effectiveness.

Job Responsibilities:

Members of the Marketing Science team generally fall within one or more functional areas as described in the Analytics Specializations section below. A person in this role is an individual contributor who has already developed some expertise through meaningful experience in their functional areas so as to be able to carry efforts in those areas within at least one major project with less supervision. A person in this role is expected to be developing knowledge in media, marketing, and entertainment.

Analytics Specializations:

Analytics Engineering and Technology Specialization:

Architecting, designing, and building data products using foundational data sets that are regularly refreshed by data engineering teams
Developing and maintaining code for data products
Consulting regularly with business stakeholders and data product owners or managers on current data assets and data strategy in order to ensure that the right data is acquired, maintained, and used properly to solve recurring media and marketing problems within the entertainment and media industries
Leveraging business knowledge from business stakeholders to provide specifications and requirements to technology and data engineering teams for ingesting, transforming, and cleaning foundational data sets that can be leveraged downstream for building data products
Providing documentation and instruction to other scientists, engineers, or analysts about how to use data products to automate and scale data-retrieval, generation of data results, data-driven recommendation, or data-driven decision-making
Leveraging business knowledge from business stakeholders to integrate and transform data from various foundational data sets as required to create successful data products
Using code and technology to build data pipelines or tools to automate the creation and/or deployment of knowledge gained from statistical models, machine learning models, or artificial intelligence
Monitoring and overseeing the deployment, maintenance, and improvement of the statistical and machine learning models and optimization routines embedded in data products
Building machine learning models, statistical models, or optimization routines—especially for the purposes of automating and scaling tasks—while leveraging the expertise of data or decision scientists as appropriate and necessary to ensure that best data and decision science practices are followed
Working directly with data scientists and decision scientists to implement bespoke, rigorous methodologies in order to systematically solve marketing problems in repeatable ways
Working directly with business stakeholders, analysts, and researchers to develop code to implement bespoke, rigorous analytic or business processes in order to systematically provide insights or recommendations in repeatable ways
Coordinating work with other science and technology teams at The Walt Disney Company

Basic Education

Bachelor’s degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience
Demonstrated academic achievement in statistics and probability—typically involving graduate-level coursework
Analytics Engineering and Technology: relevant areas include (but are not limited to) computer science and applied mathematics

Basic Qualifications

5+ years of experience
Sufficient professional experience working specifically within their functional area(s) to carry out related tasks with only some supervision
People working in Analytics Engineering and Technology need to be able to work across technical functions and understand how complicated systems work
Some demonstrated knowledge of media and marketing as well as a desire to learn more
Desire to learn about the entertainment / media industries
Reasonable level of business acumen in addition to very strong technical skills
Proven creative problem-solving, decision-making and critical thinking skills
Demonstrated outstanding interpersonal skills, including ability to partner with others to handle multiple priorities in a rapidly changing environment
Demonstrated strong written and verbal communication skills
Strong leadership skills for a technical position
Ability to work independently as well as across teams in a diverse, international, collaborative environment
Proven ability to organize, prioritize, and balance concurrent projects and sustainment activities
Proficiency in acquiring, organizing, cleansing, manipulating, and merging large volumes of data
Proficiency in performing exploratory quantitative analysis
Proficiency in fitting, evaluating, and interpreting relevant statistical or machine learning models
Proficiency with Python
Demonstrated experience with SQL
Familiarity with Tableau or other data visualization tool
Familiarity with cloud computing services
Familiarity with CI/CD and GitLab or GitHub

Preferred Education

Graduate degree (Master’s or Doctorate)—with significant graduate-level academic exposure to formal or quantitative methods

Preferred Qualifications

Advanced proficiency with SQL
Advanced proficiency with R or Python
Advanced proficiency with fitting, evaluating, and interpreting relevant statistical and machine learning models
Proficiency with Tableau or other data visualization tool
Demonstrated experience using big data technologies for data science—particularly Spark
Proficiency in acquiring, organizing, cleansing, manipulating, and merging large volumes of data
Familiarity with the martech and adtech ecosystem

The hiring range for this position in Burbank, CA is $104,600.00 to $140,200.00 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.

申請

關於The Walt Disney Studios:

超過 95 年來，The Walt Disney Studios 一直是 The Walt Disney Company 建立的基石。時至今日，其將優質電影、情節故事、音樂及舞台劇獻給世界各地的消費者。The Walt Disney Studios 坐擁一系列備受尊崇的電影工作室，包括 Disney、Walt Disney Animation Studios、Pixar Animation Studios、Marvel Studios、Lucasfilm、20th Century Studios 及 Searchlight Pictures。旗下亦設有世界級舞台表演製作商 Disney Theatrical Productions。

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 Disney Entertainment Operations LLC，其所屬的業務部門是 The Walt Disney Studios。

Disney Entertainment Operations LLC 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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