Data Scientist - Deputy Manager

Job Description:

• Implements solutions to problems using data analysis, data mining, optimization tools and machine learning techniques and statistics
• Build data-science and technology based algorithmic solutions to address business needs
• Design large scale models using Logistic Regression, Linear Models Family, Time-series models, Text mining
• Drive the collection of new data and the refinement of existing data sources
• Analyze and interpret the results of analytics experiments
• Applies a global approach to analytical solutions-both within a business area and across the enterprise
• Ability to use data for Exploratory, descriptive, Inferential, Prescriptive, and Advanced Analytics
• Ability to share dashboards, reports, and Analytical insights from data
• Experience of having done visualization on large datasets – Preferred – added advantage Technical Knowledge and Skills required
• Experience solving analytical problems using quantitative approaches
• Passion for empirical research and for answering hard questions with data
• Ability to manipulate and analyze complex, high-volume, high-dimensionality data from varying sources
• Ability to apply a flexible analytic approach that allows for results at varying levels of precision
• Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner
• Expert knowledge of an analysis tool such as R, Python, Matlab, or SAS
• Experience working with large data sets, experience working with distributed computing tools a plus (Map/Reduce, Hadoop, Hive, etc.)
• Familiarity with relational databases and SQL

Technical Knowledge and Skills required

• Experience solving analytical problems using quantitative approaches
• Ability to manipulate and analyze complex, high-volume, high-dimensionality data from varying sources
• Ability to apply a flexible analytic approach that allows for results at varying levels of precision
• Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner
• Expert knowledge of an analysis tool such as R, Python
• Experience working with large data sets, experience working with distributed computing tools a plus (Map/Reduce, Hadoop, Hive, etc.)
• Familiarity with relational databases and SQL