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Senior Data Scientist

応募 後で応募 Job ID 10128244 勤務地-都市 ニューヨーク, ニューヨーク州, アメリカ合衆国 / サンタモニカ, カリフォルニア州, アメリカ合衆国 / サンフランシスコ, カリフォルニア州, アメリカ合衆国 勤務地-国 Disney Direct to Consumer 掲載日 2025/08/06

仕事内容:

Data scientists at Disney 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 and productionize models that are used in marketing platforms and in-product every day. They provide scalable, persistent capabilities that are iteratively improved through direct interaction with cross-functional business partners. 

 

As a senior data scientist in the Retention and Engagement Modeling Intelligence Data Science team, you will be partnering closely with the Marketing, Subscriber Analytics, Commerce Product, and Engineering teams to develop models for tackling a multitude of exciting challenges, including churn and upgrade prediction, plan recommendation, discount optimization, signups and subscriber forecasting, causal inference, anomaly detection and much more! In this role you will also be working closely with non-technical business partners and executives, and it requires the use of analytical abilities, business understanding, and technical savvy to identify specific and actionable opportunities to solve 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, deploy, and improve machine learning pipelines. Work end to end from data collection, feature generation and selection, algorithm development and tuning, visualization and monitoring of model results, and productionalization of pipelines. Work with partner teams to drive experimentation to test impact of models. 
  • Complex analysis & Visualization: Develop comprehensive understanding of subscriber, playback, and payment data structures and metrics. Mine large data sets to identify opportunities for driving growth and retention of subscribersDevelopment 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 degree in advanced Mathematics, Statistics, Data Science or comparable field of study 
  • 5+ years of experience designing, building, and evaluating practical machine learning solutions 
  • Strong coding experience in one (or more) data programming languages, including Python; additional experience with distributed computing tools like PySpark and SparkML or equivalent libraries a plus 
  • Strong background in statistical & machine learning modeling: regression, classification, choice modeling, time series analysis, segmentation, dimensionality reduction, and other techniques 
  • 5+ years experience with databases and data pulling tools (SQL, Hive) 
  • Experience with version control tools such as git 
  • 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 

  • Master’s or Ph.D in Applied Mathematics, Computer Science, Statistics, Economics or related degree 
  • Experience deploying data science pipelines at-scale in a production environment 
  • Familiarity with MLOps best practices 
  • Excellent analytical skills, advanced level of statistics knowledge 
  • Demonstrated skill in selecting the right statistical or machine learning tools to solve a given 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 
  • Familiarity with data platforms and applications such as Databricks, Jupyter Notebooks, Snowflake, Airflow, Github Actions 
  • Familiarity with data exploration and data visualization tools such as Tableau, Looker 
  • Familiarity with designing and analyzing A/B testing and other experiment types 
  • Experience thinking strategically to interpret market and consumer information, preferably about a subscription service 

 

#DISNEYANALYTICS

#DISNEYTECH


The hiring range for this position in New York, NY is $145,500 to $195,000 per year. Santa Monica, CA is $138,900 to $186,200 per year, San Francisco, CA is $152,100 to $203,900 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.

その他:

DISNEYTECH


Disney Direct to Consumer について:

Disney’s Direct to Consumerチームは、Disney Entertainment内のHuluとDisney+のストリーミング事業を統括し、The Walt Disney Companyのクラス最高のストーリーテリングを世界中のファンや家族に届けています。

The Walt Disney Company について:

The Walt Disney Companyは、その子会社・関連会社とともに、多様性あふれる国際企業として、Disney Entertainment、ESPN、Disney Experiencesの3事業を柱に、ファミリー向けエンターテインメントとメディアの世界をけん引しています。1920年代に小さなアニメ・スタジオとしてスタートしたDisneyは、今日のエンターテインメント業界において卓越した存在となりました。ディズニーは今後も、子供から大人まで、ご家族のだれもが楽しめる一流の物語や体験を生み出し続けます。Disneyのストーリーやキャラクター、体験は、世界中のあらゆる場所の消費者やお客様に届けられています。当社は40カ国以上で、従業員とキャストメンバーが一丸となり、世界的にも地域的にも歓迎されるエンターテインメント体験を創出しています。

このポジションは Disney Streaming Services LLC という事業部門の一つである Disney Direct to Consumerでのお仕事です。

Disney Streaming Services LLC は機会均等雇用主です。応募者は、人種、宗教、肌の色、性別、性的指向、ジェンダー、性自認、性表現、国籍、家柄、年齢、配偶者の有無、軍役経験の有無やその地位、健康状態、遺伝情報や障がい、または連邦法や州法、地方法で禁止されているその他の法的根拠に関係なく、雇用の検討対象となります。Disneyは、すべての人々のアイデアと決断が、成長、革新、最高のストーリーの創造に役立ち、絶えず進化する世界において、価値ある存在になれるよう支援するビジネス環境を支持します。

応募 後で応募

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