Data Scientist

Experience : 5-8 years

Location: Mumbai, Pune, Bangalore, Chennai, Hyderabad

Notice :Immediate- 30 days

Responsibilities

• Work with stakeholders to identify opportunities for leveraging data to drive business solutions
• Mine and analyze data from databases to drive optimization and improvement of product development and business strategies
• Assess the effectiveness and accuracy of new data sources and data gathering techniques
• Develop custom models and algorithms to apply to data sets
• Use predictive modelling to increase and optimize customer experiences
• Coordinate with different functional teams to implement models and monitor outcomes
• Analyze large amounts of information to discover trends and patterns
• Build predictive models and machinelearning algorithms
• Present information using data visualization techniques
• Good to have a knowledge of ML lifecycle and model governance

Qualifications

• Looking for someone with 5-8 years of experience manipulating data sets and building statistical models having bachelors or masters degree in Statistics Mathematics Computer Science or another quantitative field and is familiar with the following software tools
• Experience using statistical computer languages R Python etc to manage data and draw insights from large data sets
• Knowledge of a variety of machine learning techniques clustering decision tree learning artificial neural networks XGBoost KNN SVM ANN etc
• Knowledge of advanced statistical techniques and concepts regression properties of distributions statistical tests and proper usage etc and experience with applications
• Knowledge and experience in statistical and data mining techniques GLMRegression Random Forest Boosting Trees text mining social network analysis etc
• Experience creating and using advanced machine learning algorithms and statistics regression simulation scenario analysis modeling clustering decision trees neural networks etc
• Experience visualizingpresenting data for stakeholders
• Experience with Snowflake will be an added advantage
• Experience in deployment of machine learning models using cloud technologies