4-6 years
Roles & Responsibilities:
- We're looking for a Senior Data Scientist with expertise in machine learning, natural language processing, and text analytics.
- To be able to develop robust, scalable and maintainable machine learning models to answer business problems against large data sets
- Self-motivated and driven to satisfy intellectual curiosity through the pursuit of learning and development of new skills.
Data Analytics
- Experience working with some of the statistical models such as linear/logistic regression, clustering, support vector machines (SVM) neural networks, Random Forest, CRF, Bayesian models, supervised/unsupervised learning, etc. The ideal candidate will have a wide coverage of the different methods/models, and an in depth knowledge of some.
- Knowledge of Natural Language Processing (NLP) techniques (POS Tagging, NER, Semantic Role Labelling etc.)
- Utilize statistical natural language processing to mine unstructured data, and create insights;
- Perform elements of data cleaning, feature selection and feature engineering and organize experiments in conjunction with best practices
- Creating dynamic decision making processes and trying to predict future events from the historical data.
- Benchmark, apply, and test algorithms against success metrics. Interpret the results in terms of relating those metrics to the business process
- Visualize data to tell compelling stories
Requirements:
- Strong Working Python, R
- Background in natural language processing and/or machine learning
- Strong Computer Science fundamentals (algorithms, data structures)
- Industry experience developing multi-threaded applications
- Mathematical background (probability & statistics) a strong plus
- Strong communications and interpersonal skills a must
- Knowledge of SQL, PL/SQL and standard RDBMSs a plus
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