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Bloomberg LP Data Scientist in New York, New York

Position Duties: Design, create, implement, and manage predictive analytics that leverage large and varied mathematical datasets, both financial and non-financial. Use a wide range of analytical tools, methods and platforms in administering of predictive analytics. Design lean mathematical proofs of concepts to answer targeted questions for the business. Maintain involvement in a wide range of proprietary and interesting data stores and apply existing methods or develop new methods of engagement. Engage in statistics and data analytics, collaborate with Bloomberg’s advanced visualization team, and educate others. Identify areas of interest to the business, recognize which financial models and concepts should be applied to the business problem, and help the team acquire the necessary data resources. Create and implement models with advanced analytical and financial tools. Design models to answer targeted business questions and drive change. Be hands on with populating data, conducting data analysis, and building dashboards that influence business decisions. Organize and analyze data to identify historical patterns to better position our team's workflows. Integrate and collaborate with other analysts on department wide dashboard initiatives. Research, develop, and implement new methods of extracting relevant data from a variety of sources. Collaborate and consult with business colleagues to better understand their domain. Design, prototype, and implement technical solutions using a combination of proprietary, third party and open source technology to pursue complex business needs.Job Requirements: Master’s degree or the foreign equivalent in Finance, Mathematics, Information Systems, or related and one (1) year experience in the job offered or as a Quantitative Analyst, Data Analyst, or Engineer.Must have one (1) year of experience in each of the following skills: Python; SQL; MATLAB; R; Data Analytics; Relational databases; and Machine Learning.

Minimum Salary: 180000 Maximum Salary: 250000 Salary Unit: Yearly

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