What we expect?
 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
 Familiarity in using Big Data / Hadoop (or equivalent)
 Familiarity with a wide variety of data sources, including public or private APIs and standard data formats, like JSON, YAML and
XML
 Ability to design and implement Validation Tests, Hypotheses with supporting documentation
 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
 Good in spoken and written English language
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 organization to enhance knowledge
 Create complex predictive models using ML techniques and relevant tools