Data Scientist

• 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.
• Develop comprehensive understanding of subscriber data structures and metrics.
• Mine large data sets to identify opportunities for driving growth and retention of subscribers.
• Development of prototype solutions, mathematical models, algorithms, and robust analytics leading to actionable insights, and communicating them clearly and visually.
• 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.

Data Scientist II – Segmentation

Senior Data Scientist

Principal Data Scientist

Principal Data Scientist

Group AI Research Product Manager, Data Science

Data Scientist 5