Required Qualifications

•  Bachelor of Science or Bachelor of Engineering at a minimum.
•  4-6 years of work experience as a Data Scientist
•  A combination of business focus, strong analytical and problem-solving skills, and programming knowledge to be able to quickly cycle hypothesis through the discovery phase of a project
•  Advanced skills with statistical/programming software (e.g., R, Python) and data querying languages (e.g., SQL, Hadoop/Hive, Scala)
•  Good hands-on skills in both feature engineering and hyperparameter optimization
•  Experience producing high-quality code, tests, documentation
•  Experience with Microsoft Azure or AWS data management tools such as Azure Data factory, data lake, Azure ML, Synapse, Databricks
•  Understanding of descriptive and exploratory statistics, predictive modelling, evaluation metrics, decision trees, machine learning algorithms, optimization & forecasting techniques, and / or deep learning methodologies
•  Proficiency in statistical concepts and ML algorithms
•  Good knowledge of Agile principles and process 
•  Ability to lead, manage, build, and deliver customer business results through data scientists or professional services team
•  Ability to share ideas in a compelling manner, to clearly summarize and communicate data analysis assumptions and results
•  Self-motivated and a proactive problem solver who can work independently and in teams

Required Qualifications

•  Bachelor of Science or Bachelor of Engineering at a minimum.
•  4-6 years of work experience as a Data Scientist
•  A combination of business focus, strong analytical and problem-solving skills, and programming knowledge to be able to quickly cycle hypothesis through the discovery phase of a project
•  Advanced skills with statistical/programming software (e.g., R, Python) and data querying languages (e.g., SQL, Hadoop/Hive, Scala)
•  Good hands-on skills in both feature engineering and hyperparameter optimization
•  Experience producing high-quality code, tests, documentation
•  Experience with Microsoft Azure or AWS data management tools such as Azure Data factory, data lake, Azure ML, Synapse, Databricks
•  Understanding of descriptive and exploratory statistics, predictive modelling, evaluation metrics, decision trees, machine learning algorithms, optimization & forecasting techniques, and / or deep learning methodologies
•  Proficiency in statistical concepts and ML algorithms
•  Good knowledge of Agile principles and process 
•  Ability to lead, manage, build, and deliver customer business results through data scientists or professional services team
•  Ability to share ideas in a compelling manner, to clearly summarize and communicate data analysis assumptions and results
•  Self-motivated and a proactive problem solver who can work independently and in teams

B.Tech/M.tech