Entry Level Data Scientist (Remote)

Job Description: Good understanding of the below models: Identify valuable data sources and automate collection processes Undertake preprocessing of structured and unstructured data Analyze large amounts of information to identify trends and patterns Classifier, Random Forest Classifier, Nave Bayes, Support Vector Machine Machine Learning Algorithms - Linear Regression, Logistic Regression, Decision Tree Unsupervised/Clustering algorithmsNLP models, Deep Learning models for image classification

Skills required: Hands on experience Python scripting Hands on experience in building Machine Learning and Artificial Intelligence models Good knowledge on Exploratory Data Analysis (EDA)Hands on experience on platforms - Microsoft Azure/Amazon Web Services Libraries – Numpy, Pands, Scikit learn, Seaborn, Plotly, TensorFLow, Should be able to do data visualisation using Tableau or Excel. Excellent English communication (both oral and written) and reading comprehension skills. Strong analytical and problem-solving skills, with clear attention to detail. Education Requirement: Bachelors, Masters in Computer Science/ Computer Engineering/ Information Systems/Information Technology/ Electrical Engineering/ Mechanical Engineering.

Benefits: On Job Technical supportE- verified ClientsOPT letter for International Students Full time position Candidate who are missing the required skills, might be provided an option to enhance their skills, so that they can also apply for the role and can make a career in IT industry. Who should apply: Candidates who have difficulty finding jobs even after completing their bachelors and masters. Candidates who are working on redundant technologies and want to become relevant again to boost their growth. Candidates who want to enhance their skill portfolio. Candidate who are open to invest 4-5 months in learning about Java or Data Science and then have a job in the Fortune 500 Companies. After training you will get an opportunity to work with companies like Apple, Google, Wells Fargo, Client, Pay Pal, eBay etc.