About this role
The FactSet Engineering team is composed of highly talented and motivated individuals, primarily selected from top-tier technical programs around the world. We believe this approach fosters the continual introduction of new technologies and ideas, which has been critical to our success. Our engineers believe that a key to their, and Fact Set’s, success is creating a loose team environment in which everyone can contribute individually, yet at the same time cultivate a community where engineers can depend on each other for help, learning, and development
FactSet is currently seeking a talented and motivated professional to join the Machine Learning and Language Technologies (MLT) Group. The primary responsibility for this position will be the development of systems for natural language analysis, classification tasks, information retrieval, machine translation and processing of financial data.
Our management approach is to trust and expect the best. We encourage developers to take initiative to complete projects, manage multiple tasks and set individual day-to-day priorities. We also encourage creativity and innovation. In our friendly yet professional atmosphere, FactSet offers an excellent opportunity to grow and be a part of a successful team.
An ideal candidate for this position has a good mix of technical and analytical skills for software development, as well as a research-oriented background suitable for developing solutions for language processing tasks.
Company:
FactSet
Qualifications:
Required Skills
Strong Projecct Experience in Natural Language Processing or Machine Learning
BS, MS, or PhD in Computer Science/Statistics/Mathematics or related discipline
3-7 Year work Experience
Strong proficiency in Java or Python
Familiarity With Open Source ML/NLP Toolkits
We like tools such as scikit-learn, Mallet, IPython, Pandas, Weka, Vowpal Wabbit.
Strong verbal and written communication skills
Familiarity with any of the following is recommended
A scripting language like Python, Bash
Machine Translation
Knowledge of Database Technologies : SQL, NoSQL
Financial/Investment/Business knowledge
Educational level:
Bachelor’s Degree
Level of experience (years):
Mid Career (2+ years of experience)
How to apply:
Please mention NLP People as a source when applying