Data Scientist

Qualifications:-

• Postgraduate with Engineering Background
• Hands on exposure of machine learning concepts and algorithms
• Must be fluent with any one of these Python, R or Java
• Strong in statistical & machine learning concepts
• Knowledge of Python Libraries – Scipy, Numpy, Pandas, IPython, Scikit-learn, Tensor-flow, Keras, Theano etc.
• Strong Python skills for data wrangling / analysis / visualization / modeling

Experience:-

• Experience with data analysis/Modelling
• Experience with distributed big data processing (PySpark, Jupyter, Linux, AWS)

Responsibilities:-

• Hypothesis testing, insights generation, root cause analysis, factor analysis
• Statistical model (predictive & prescriptive) development using various statistical methods
• Familiar with Machine learning techniques/algorithms
• Test/train the model, Improve Model accuracy, Execute & Monitor model performance, prepare reports based on the results of the analysis
• Data Extraction from various platforms such as SQL/Big Data Platform/Google CP, Dataset Preparation (creation of base data, aggregation, transformation), performing EDA

 Other Skills:-

• Strong learning acumen
• Team Player
• High sense of ownership
• Ability to work in a fast-paced and deadline driven environment
• Passion for technology
• Highly skilled at Data Interpretation
• Problem solver.