Name Of The Company: S&P Capital IQ
Experience Required: 0 to 2 yrs
Educational Qualification: MSc or PhD in Computer Science, Computational Linguistics or equivalent
Job Designation: Data Scientist
Functional Area: Application Programming
Type of Industry: IT-Software Services
Required Candidate Skills :
- Programming experience with Java, C#, or similar object oriented languages
- Experience with NLP techniques such as language identification, named entity recognition, lemmatization, sentiment analysis
- Programming experience with Python or similar language.
- Experience working on text input methods and auto correction
- 0-2 years of Natural Language Processing and Machine Learning experience
- Strong Computer Science fundamentals (algorithms, data structures)
- Good algorithmic knowledge of symbol sequence processing and statistical pattern recognition
- Knowledge of persistent layers using relational and/or NoSQL databases
- Understanding of software architecture and object-oriented design
- Experience writing and debugging software
- Strong communications skills
- Ability to work well as part of a team
Job Description:
- The S&P Capital IQ Data Science team is looking for a software engineer, natural language processing, to develop and apply algorithms and data in these areas.
- This involves cutting edge machine learning and statistical pattern recognition on large text corpora, as well as the use of natural-language processing in software, including design, implementation, algorithms, correctness, and performance.
About company:
S&P Capital IQ, a business line of The McGraw-Hill Companies (NYSE:MHP), is a leading provider of multi-asset class and real time data, research and analytics to institutional investors, investment and commercial banks, investment advisors and wealth managers, corporations and universities around the world. We provide a broad suite of capabilities designed to help track performance, generate alpha, and identify new trading and investment ideas, and perform risk analysis and mitigation strategies.
Website: www.capitaliq.com
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