Data Scientist Offline

MS or higher in the following areas: Statistics and Mathematics

At least 3-5 years of professional industry experience, in addition to your academic experience

Outstanding quantitative analytical ability

Able to take less than precise business requirements and translate them into logic problems which you enjoy solving

Independent and creative approach to problem solving

Excellent written and verbal communication skills, with prior experience explaining assumptions, conclusions and methodology to both internal and external customers

In-depth knowledge of Statistics/Probability/Machine Learning

General Statistical concepts such as hypothesis testing, estimation, inference

Supervised and unsupervised statistical techniques such as regression (linear / logistic), time series analysis, clustering

Machine Learning foundations such as bias/variance trade-off, regularization, dimension reduction

Real world experience with popular machine Learning algorithms such as Random Forest, Boosting, SVMs

Experience with unstructured text data using NLP methods such as Latent Dirichlet Allocation (LDA), Latent Semantic Analysis (LSA), Sentiment Models, Word Embeddings, Text Similarity, Entity extraction is a strong plus

Strong programming experience in Python and one of the following: Scala/Java, R

Understanding of algorithm complexity and performance implications

Knowledge of data structures and algorithms

Good knowledge of Knowledge Engineering

Good knowledge of Graph technology, Knowledge Graphs, Graph Data bases and Ontologies

Experience with SQL

Familiarity with R Shiny framework is a plus