Description

What You’ll Do

Demonstrate ability to work on data science projects involving predictive modelling, NLP, statistical analysis, vector space modelling, machine learning etc.
Leverage our rich data sets of user data to perform research, develop models and create data products with our Development & Product teams
Develop novel and scalable data systems in cooperation with our system architects that leverage datasets using machine learning techniques to enhance the user experience


What You’ll Need

Knowledge and experience using statistical and machine learning algorithms including regression, instance-based learning, decision trees, Bayesian statistics, clustering, neural networks, deep learning, ensemble methods
Expert knowledge in Python. 
Experience in feature selection, building and optimising classifiers.
Experience working with backend technologies such as Flask/ Gunicorn etc.
Experience on working with open source library such Spacy,NLTK,Gensim etc
Experience on working with deep-learning library such as Tensor flow, Pytorch etc
Experience with software stack components including common programming languages, back-end technologies, database modelling, continuous integration, services oriented architecture, software testability etc.
Be a keen learner and enthusiastic about developing software.


What’s Good To Have

Experience with Cloud infrastructure and platforms (Azure, AWS)
Experience using tools to deploy models into the production environment such as Jenkins
Experience with the ontology/taxonomies of the career/ recruiting domain e.g. O*Net – NR


Experience-

Senior Software Engineer- Data Science- 4.5yrs +
 

Education

Any Graduate