One of the core functions of the Bloomberg software product is the manufacturing of high quality, structured data for financial professionals from unstructured, noisy sources with the aid of deep domain specialists. Since beginning thirty years ago, Bloomberg’s Global Data Department has built one of the largest and most sophisticated systems to provide this crucial data. We’re looking for an experienced researcher to join the CTO office and advise on the technical strategy and roadmap for the growing machine learning and data science efforts. You will join a talented group of engineers and data scientists to make deep changes to one of the largest data manufacturing initiatives in the world.

With your help we’ll:

• Provide support and leadership to the data analysts and scientists working in the Global Data Department and influence best practices across a large global team
• Guide and advise the team on statistical methods and create new tools to help them work with domain specialists effectively 
• Carry out research to explore new innovative ways to improve the quality, efficiency, and coverage of our data ingestion and extraction operations
• Look at new areas where machine learning and natural language processing can be used to streamline and extend our processes to identify the most important, relevant data and to derive new premium content

We’ll trust you to: 

• Be the technical architect and point person for the next-generation data manufacturing process
• Collaborate with application engineering teams and providing support for domain specialists applications in a very agile environment
• Work with others in the CTO office, Engineering, and the Global Data Department on a suite of company-wide initiatives with visibility up to Bloomberg’s top executives

You’ll need to have: 

• Ph.D. or equivalent experience in machine learning, statistics or a related field
• 5+ years of experience implementing machine learning in a business context
• Product management and proven ability to work across organizational boundaries in a multi-stakeholder context
• Experience performing high quality research and applying statistical approaches in novel contexts 

If this sounds like you, apply! In addition, do check out our blog, TechAtBloomberg.com, to learn more about our publications and projects in data science.