Data Scientist II - Segmentation Data Science

Data Scientists at Disney Entertainment Direct-to-Consumer are the modeling and insights partners for the Content, Product, Marketing, Analytics, Business Operations, 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. 

WHAT YOU'LL DO 

• Modeling: Design, build and improve machine learning models related to subscribers’ behavior. Work on the entire development process, i.e., data collection, feature engineering, algorithm development, analysis, visualization, and communicating the results. Collaborate with the team to productionize models. Drive experimentation to test the impact of the models. 

• Deep analysis: Develop comprehensive understanding of subscriber 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, and communicating them 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. 

Minimum Qualifications 

• Bachelor’s degree in advanced Mathematics, Statistics, Data Science or comparable field of study 

• 3+ years of experience designing, building, and evaluating practical machine learning solutions 

• 2+ years of experience with a programming language for data science or statistics like Python, R, especially experience with scientific libraries like Numpy, Pandas. 

• Experience with reading and writing complex SQL queries and using Databases 

• Deep understanding of machine learning concepts and statistical methods 

• Strong communication skills, for both technical and non-technical audiences 

• Desire to collaborate with other data scientists, data engineers, analysts, and business partners 

Preferred Qualifications

• Masters or Doctorate degree in Statistics, Econometrics, Mathematics, Computer Science, Engineering, or related field 

• Previous experience in marketing analytics and consumer insights, especially in the subscription services sector 

• Excellent analytical skills and advanced level of statistics knowledge 

• Familiarity with data exploration and data visualization tools such as Tableau, Looker 

• Experience developing interactive data apps using packages such as R Shiny or Streamlit 

• Strong expertise with Python and libraries such as scikit-learn and scipy 

• Familiarity with data platforms and applications such as Jupyter, Snowflake, Github, Databricks, Airflow