Data Scientist

Responsibilities

• Gather and analyze data, using various types of analytics and reporting tools to detect patterns, trends, and relationships in data sets
• Establish best practices for collecting data using analysis tools, and interpreting data
• Process, cleanse, and verify the integrity of data used for analysis
• Perform ad-hoc analysis and present results in a clear manner using appropriate medium
• Process / mine huge volumes of structured, semi-structured and unstructured data using state-of-the- art methods to derive meaningful insights in an appropriate format
• Recommend tools, techniques, and practices across organizations to enhance knowledge
• Create complex predictive models using ML techniques and relevant tools.
  

• Excellent knowledge of Statistics, especially distributions, likelihood estimators, etc.
• Hands-on experience with one of these programming languages: Python / R
• Extensive knowledge of Machine Learning concepts and techniques, along with knowledge of various
• algorithms and their use cases
• Experience in using Business Intelligence (BI) tools like Tableau (or equivalent)
• Hands on experience in using SQL programming with Microsoft SQL Server / MySQL
• Excellent documentation skills, including advanced use of Microsoft Excel, Word, and PowerPoint
• Ability to work independently with minimum input or assistance
• Ability to effectively communicate with all levels of audience – business and technical