Responsibilities :- Selecting features, building and optimizing classifiers using machine learning techniques.- Data mining using state-of-the-art methods.- Extending company’s data with third party sources of information when needed.- Enhancing data collection procedures to include information that is relevant for building analytic systems.- Processing, cleansing, and verifying the integrity of data used for analysis.- Doing ad-hoc analysis and presenting results in a clear manner.
Creating automated anomaly detection systems and constant tracking of its performanceSkills and Qualifications :
Excellent understanding of machine learning techniques and algorithms, such as Classification, regression, RF, CRF, SVM, Clustering, CNN, Neural network etc…- Experience with common data science toolkits, such as R, Matlab, Python related etc.-Experience with data visualisation tools, such as D3.js, GGplot, etc. to present the observation or solution in simple and consummabale manner on dashboard- Proficiency in using query languages such as R, SQL etc.
Experience in Python is plus- Experience with various sdks like mitie, dib, stanford NLP, etc are preferred- Good applied statistics skills, such as distributions, statistical testing, regression, etc.- Understand the high level problem and provide set of solutions to solve it using machine learning or otherwise- We’ re looking for someone with 5-8 years of experience manipulating data sets and building statistical models, has a Master’s or PHD in Statistics, Mathematics, Computer Science or another quantitative field (ref:hirist.com)
Information Technology & Services Computer Software Internet
Engineering Information Technology
Requirements :- Should have good knowledge of statistics and machine learning techniques- Should able able to soft through data and extract the underlying patterns and insights which could be applied to solve the problem or add value- Should have good problem solving skills- Should have working knowledge or experience with tools such as R, Matlab etc- Should be able to convert high level goals into set of use cases or KPIs to be added to the solution to solve customer problem- Should be able to prepare datasets, tune params, select set of attributes etc to ensure the model trained solves the problem in efficient manner
Level of experience (years):
Senior (5+ years of experience)