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