Staff Data Scientist - Causal Inference

We are looking for an experienced and talented Staff Data Scientist - Causal Inference to join the CNN team. In this role, you will be responsible for leading the development of advanced predictive models and causal inference techniques, contributing to the development of data-driven products and services, and ensuring data accuracy throughout the organization.We are looking for a talented individual who has strong data science and machine learning skills, experience with causal inference techniques and the ability to communicate complex data solutions to a wide variety of audiences. You must have a passion for data and analytics, and a strong drive to continuously learn and stay up to date on the latest technologies and best practices.To be successful in this role, you should have a Master's or PhD degree in Computer Science, Mathematics, Statistics, Machine Learning or a related field, as well as a minimum of 5 years of experience in data science and machine learning. Experience with causal inference techniques and a deep understanding of the principles of statistics and machine learning are also critical for success in this role. Excellent communication, problem-solving and organizational skills are essential.

According to JobzMall, the average salary range for a Staff Data Scientist - Causal Inference in Burbank, CA, USA is $117,722 - $157,094 per year. The salary can vary depending on a variety of factors, such as the experience of the individual, the type of employer, the location of the job, and the size of the company.

CNN is an American news-based pay television channel owned by CNN Worldwide, a unit of the WarnerMedia News & Sports division of AT&T's WarnerMedia. CNN was founded in 1980 by American media proprietor Ted Turner as a 24-hour cable news channel.