Applied Statistician - Data Technologies

We are looking for an Applied Statistician to join our Data Technologies team at Bloomberg. This highly visible role is an opportunity to leverage your expertise in data science, analytics, and statistical methodology to drive meaningful insights and solutions.The ideal candidate is a highly motivated self-starter with an inquisitive and analytical mindset, a deep understanding of statistics and machine learning, and a passion for problem-solving and data-driven solutions. The successful candidate will have a strong track record of success and demonstrated experience in applying statistical analysis to a variety of data sets and business problems.We are seeking a candidate who has the following qualifications: a Bachelor's degree (or higher) in Statistics, Mathematics, Computer Science, or a related discipline; at least 5 years of experience with statistical methods and techniques; an advanced understanding of data modeling and data mining; experience with business intelligence tools or programming languages such as R, Python, or SAS; and a proven ability to communicate complex technical topics in an accessible and effective manner.We are looking for a team player who is eager to work in an innovative, fast-paced environment, and who can collaborate with other stakeholders to tackle challenging problems and drive meaningful results. If you share our passion for data technology and have the qualifications to excel in this role, we would love to hear from you.

According to JobzMall, the average salary range for a Applied Statistician - Data Technologies in New York, NY, USA is $87,000 - $140,000. This range depends on experience, education, and other factors.

Bloomberg is the world's primary distributor of financial data and a top news provider of the 21st century. A global information and technology company, we use our dynamic network of data, ideas and analysis to solve difficult problems every day.