<p>Job Posting Title:</p>Senior Data Scientist<p></p><p>Req ID:</p>10128244<p></p><p>Job Description:</p><div><div><p><span><span>Data scientists at Disney Direct-To-Consumer are the insights and modeling partners for the growth, content, marketing, product, and engineering teams at Disney+, </span><span>Hulu</span><span> and ESPN+. They use data to empower decision-makers with information, predictions, and insights that </span><span>ultimately influence</span><span> the experiences of millions of users worldwide. Scientists on the team build and </span><span>productionize</span><span> 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.</span></span><span> </span></p></div><div><p><span> </span></p></div><div><p><span><span>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 </span><span>identify</span><span> specific and actionable opportunities to solve business problems through data modeling.</span></span><span> </span></p></div><div><p><span> </span></p></div><div><p><span><span>We are looking for someone with deep analytical and modeling </span><span>expertise</span><span>, a proven </span><span>track record</span><span> of thought leadership, and eagerness to drive impact.</span></span><span> </span></p></div><div><p><span> </span></p></div><div><p><b><span><span>Responsibilities</span></span><span> </span></b></p></div><div><ul><li><b><span>Modeling</span></b><span><span>: Design, build, deploy, and improve machine learning pipelines. Work end to end from data collection, feature generation and selection, algorithm development and tuning, </span><span>visualization</span><span> and monitoring of model results, and </span><span>productionalization</span><span> of pipelines. Work with partner teams to drive experimentation to test impact of models.</span></span><span> </span></li></ul></div><div><ul><li><b><span>Complex analysis &amp; Visualization</span></b><span><span>: Develop comprehensive understanding of subscriber, playback, and payment data structures and metrics. Mine large data sets to </span><span>identify</span><span> opportunities for driving growth and retention of subscribers</span><span>.  </span><span>Development of prototype solutions, mathematical models, algorithms, and robust analytics leading to actionable insights communicated clearly and visually. </span></span><span> </span></li></ul></div><div><ul><li><b><span>Partnership</span></b><span><span>: Partner closely with business stakeholders to </span><span>identify</span><span> and unlock opportunities, and with other data teams to improve platform capabilities around data modeling, data visualization, </span><span>experimentation</span><span> and data architecture.</span></span><span> </span></li></ul></div><div><p><span> </span></p></div><div><p><b><span><span>Basic Qualifications</span></span><span> </span></b></p></div><div><ul><li><span><span>Bachelor’s degree in advanced Mathematics</span><span>, Statistics, Data </span><span>Science</span><span> or comparable field of study</span></span><span> </span></li></ul></div><div><ul><li><span><span>5+ years of experience designing, building, and evaluating practical machine learning solutions</span></span><span> </span></li></ul></div><div><ul><li><span><span>Strong coding experience in one (or more) data programming languages, including Python; </span><span>additional</span><span> experience with distributed computing tools like </span><span>PySpark</span><span> and </span><span>SparkML</span><span> or equivalent libraries a plus</span></span><span> </span></li></ul></div><div><ul><li><span><span>Strong background in statistical &amp; machine learning modeling: regression, classification, choice modeling, time series analysis, segmentation, dimensionality reduction, and other techniques</span></span><span> </span></li></ul></div><div><ul><li><span><span>5+ </span><span>years experience</span><span> with databases and data pulling tools (SQL, Hive)</span></span><span> </span></li></ul></div><div><ul><li><span><span>Experience with version control tools such as git</span></span><span> </span></li></ul></div></div><div><div><ul><li><span><span>Willingness to adapt in fast-paced and quickly growing work environment</span></span><span> </span></li></ul></div><div><ul><li><span><span>Seasoned &amp; resourceful problem solver who figures out how to get things done, even if it means navigating through ambiguity</span></span><span> </span></li></ul></div><div><p><span><span> </span></span><span> </span></p></div><div><p><b><span><span>Preferred Qualifications</span></span><span> </span></b></p></div><div><ul><li><span><span>Master’s or </span><span>Ph.D</span><span> in Applied Mathematics, Computer Science, Statistics, </span><span>Economics</span><span> or related degree</span></span><span> </span></li></ul></div><div><ul><li><span><span>Experience deploying data science pipelines at-scale in a production environment</span></span><span> </span></li></ul></div><div><ul><li><span><span>Familiarity with </span><span>MLOps</span><span> best practices</span></span><span> </span></li></ul></div><div><ul><li><span><span>Excellent analytical skills, advanced level of statistics knowledge</span></span><span> </span></li></ul></div><div><ul><li><span><span>Demonstrated skill in selecting the right statistical or machine learning tools to solve a given problem</span></span><span> </span></li></ul></div><div><ul><li><span><span>Ability to adapt quickly in a fast-moving environment with shifting priorities</span></span><span> </span></li></ul></div><div><ul><li><span><span>Strong communication</span><span> skills, for both technical and non-technical audiences</span></span><span> </span></li></ul></div><div><ul><li><span><span>Ability to handle multiple tasks concurrently and </span><span>in a timely manner</span></span><span> </span></li></ul></div><div><ul><li><span><span>Familiarity with data platforms and applications such as Databricks, </span><span>Jupyter</span><span> Notebooks, Snowflake, Airflow, </span><span>Github</span><span> Actions</span></span><span> </span></li></ul></div><div><ul><li><span><span>Familiarity with data exploration and data visualization tools such as Tableau, Looker</span></span><span> </span></li></ul></div><div><ul><li><span><span>Familiarity with designing and analyzing A/B testing and other experiment types</span></span><span> </span></li></ul></div><div><ul><li><span><span>Experience thinking strategically to interpret market and consumer information, preferably about a subscription service</span></span><span> </span></li></ul></div><div><p><span> </span></p></div><div><p><span>#DISNEYANALYTICS</span></p><p><span>#DISNEYTECH</span></p></div></div><p></p>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.<p></p><p>Job Posting Segment:</p>Direct to Consumer<p></p><p>Job Posting Primary Business:</p>DTC Analytics and Data Science<p></p><p>Primary Job Posting Category:</p>Data Science<p></p><p>Employment Type:</p>Full time<p></p><p>Primary City, State, Region, Postal Code:</p>New York, NY, USA<p></p><p>Alternate City, State, Region, Postal Code:</p>USA - CA - 2500 Broadway Street, USA - CA - Market St<p></p><p>Date Posted:</p>2025-08-06

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