Lead Data Scientist

工作 ID 10106158 地點纽约, 纽约州, 美國 / 圣莫尼卡, 加利福尼亚州, 美國 / 旧金山, 加利福尼亚州, 美國 有意工作的公司 Disney Direct to Consumer 日期已公佈 Nov. 22, 2024

申請

工作概要:

Data Scientists at Direct to Consumer are the insights and modeling partners for the growth, content, marketing, product, and engineering teams at Disney+, Hulu and ESPN+. They use data to empower decision-makers with information, predictions, and insights that ultimately influence the experiences of millions of users worldwide. Scientists on the team build models, perform statistical analysis, and create visualizations to provide scalable, persistent capability that is iteratively improved through direct interaction with cross-functional business partners.

As a Lead Data Scientist in the DTC (Direct-To-Consumer) Data Science team, you will be partnering closely with the Marketing, Subscriber Analytics, Finance, Business Operations, Commerce Product and Engineering teams to develop models for tackling a multitude of exciting challenges, including content/audience segmentation, customer lifetime value estimation, churn and upgrade prediction, signups and subscribers forecasting, fraud prevention and mitigation, payment optimization, causal inference, anomaly detection and much more! In this role you will also be working very closely with company executives and it requires the use of analytical abilities, business understanding, and technical savviness to identify specific and actionable opportunities to solve existing business problems through data modeling.

We are looking for someone with deep analytical and modeling expertise, a proven track record of thought leadership and eagerness to drive impact.

Responsibilities

Modeling: Design, build and improve machine learning models. Work end to end from data collection, feature generation and selection, algorithm development, forecasting, visualization and communicating of model results. Collaborate with engineering to productionize models. Drive experimentation to test impact of model based optimization.
Deep analysis: Develop comprehensive understanding of subscriber and payment data structures and metrics. Mine large data sets to identify opportunities for driving growth and retention of subscribers.
Visualization of Complex Data sets: Development of prototype solutions, mathematical models, algorithms, and robust analytics leading to actionable insights communicated clearly and visually.
Partnership: Partner closely with business stakeholders to identify and unlock opportunities, and with other data teams to improve platform capabilities around data modeling, data visualization, experimentation and data architecture.

Basic Qualifications

Bachelor’s in Advanced Mathematics, Statistics, Data Science or comparable field of study.
7+ years of experience designing, building, and evaluating practical machine learning solutions
Strong coding experience in one (or more) data programming languages like Python/R, additional experience with scientific libraries like Numpy, Pandas, or equivalent libraries a plus.
Strong background in statistical modeling: regression, time series analysis and other techniques.
Experience developing scalable mathematical models and solving complex quantitative problems that can be understood by non-mathematical colleagues.
7+ years experience with databases and data pulling tools (SQL, Vertica, Hive).
Willingness to adapt in fast-paced and quickly growing work environment.
Seasoned & resourceful problem solver who figures out how to get things done, even if it means navigating through ambiguity

Preferred Qualifications

Advanced degree (Master’s or Ph.D.) in a quantitative discipline
Excellent analytical skills, advanced level of statistics knowledge
Strong expertise with Python and libraries such as scikit-learn, scipy *
Familiarity with Bayesian modeling and probabilistic programming packages such as PyMC
Familiarity with data platforms and applications such as Databricks, Jupyter, Snowflake, Airflow, Github
Familiarity with data exploration and data visualization tools such as Tableau, Looker
Familiarity with designing and analyzing A/B testing and other experiment types
Demonstrated skills in selecting the right statistical tools given a data analysis problem
Ability to adapt quickly in a fast-moving environment with shifting priorities
Strong communication skills, for both technical and non-technical audiences
Ability to handle multiple tasks concurrently and in a timely manner, including large and complex ones
Demonstrated leadership experience, including people and project management
Experience in advanced ML techniques (neural nets, NLP, image processing)
Experience thinking strategically to interpret market and consumer information, preferably about a subscription service.

Additional Information

#DISNEYTECH

The hiring range for this position in New York, NY is $159,500 to $213,900 per year and in Santa Monica, CA is $152,200 to $204,100. 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 Direct to Consumer:

Disney 的直接消費者團隊負責監督 Disney Entertainment 中的 Hulu 和 Disney+ 串流業務，協助將 The Walt Disney Company 一流的故事講述給世界各地的粉絲和家庭。

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 Streaming Services LLC，其所屬的業務部門是 Disney Direct to Consumer。

Disney Streaming Services 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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