VALUES THAT DEFINE OUR CULTURE We are unified by the spirit of going above and beyond for our clients and each other. We look to foster a globally inclusive culture, enabling our people to be themselves at work and to join in, be heard, contribute, and grow. We continually seek to expand our workforce with diverse perspectives, backgrounds, and experiences. We recognize that our best ideas can come from anyone, anywhere, at any time and help us provide the best solutions for our clients around the globe. Our inclusive work environment maximizes our diversity values, engagement, productivity, and ultimately makes FactSet a fun place to work.
JOB RESPONSIBILITIES Factset is looking for leader who leads Data Mining Team to increase company ability to automate with wide variety of sources of data. He/She has to collaborate with Data Lake team and contribute in building the pipeline by enhancing or enriching the data using machine learning techniques. Manage a science agenda that balances short term deliverable's with measurable business impact with long term projects. Proficient with Statistical analysis, standard machine learning techniques and ML model deployment engineering best practices. Work with data scientists, engineers, and cross functional teams to produce end-to-end production-ready solutions Drive a culture of quality, performance, scalability, and reliability JOB REQUIREMENTS: Total Experience: 7 to 9 years Must have Computer skills Practice of programming in Python Comfortable working in Linux and windows environment Practice of source control, code review, testing frameworks Practice of Big Data frameworks, like Hadoop, Spark Knowledge of both Sql and noSql databases (Columns, Documents, Key-Value) Cloud Basic knowledge of cloud environment, constraints and opportunities Statistics Basic statistics knowledge, probability, correlation, regression, linear algebra, stochastic process Practice of data analysis, data cleanup, data investigation, how to detect and handle unbalance, bias and noise Proficient in data structures and algorithms, in particular: lists, queues, trees, graphs, and sorting, searching, traversing, dynamic programming, and map-reduce pattern Knowledge and practice of ML and NN algorithms and frameworks Knowledge and practice of Natural Language Processing Others Practice of data mining and data science projects, from understanding the problem to presenting results and deploying in production Communication skills, project presentation, capacity to popularize technics and results Knowledge of Data Mining / Data Science projects and publications Nice to have Computer skills Practice of programming in other languages like R, java, Julia, Matlab Practice working on Jupyter notebook/lab or VS Code Practice working on Git/Github Cloud Practice on AWS cloud / SageMaker
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