Data Scientist

Skills And Experience Required

Experience using statistical computer languages (Python) to manipulate data and draw insights from large data sets.
Experience in various ML algorithms such a regression, classification, random forest, decision tree to develop predictive analytics solution
Experience in various DL NN architecture such as CNN, FNN, RNN, Yolo
Experience in building end to end data science pipeline (EDA, Model Training, Model Evaluation, Model Deployment)
Able to identify text, get source data, mine data, apply text mining algorithms (know several), build concept and category models
Excellent communication, presentation, and interpersonal skills
Experienced in working in a customer facing role

Responsibilities

Reading existing code, re-running code, updating as required
Text mining – identify text, get source data, mine data, apply text mining algorithms (know several), build concept and category models
Create code to simplify existing manual processes, imbue logic to simplify engineering rules
Build Machine learning models
Peer review and offer recommendations on other people’s code
Work with back/front-end developer to create sustaining pipelines for web applications
Lateral and logical thinking. The ability to think creatively and outside the box to solve unique and challenging problems