Responsibilities - Work with cross-functional team members to identify and priortize actionable, high impact insights across a variety of core business areas
- Research, design, implement and validate cutting-edge algorithms to analyze diverse sources of data to achieve targeted outcomes
- Provide expertise on mathematical concepts for the broader applied analytics team and inspire the adoption of advanced analytics and data science across the entire breadth of the organization
- Setup, present and demonstrate solutions/products/prototypes from the lab in exhibitions
Requirements - PH.D or Masters Degree in operations research, applied statistics, data mining, machine learning, physics or a related quantitative discipline
- At least 5 years experiences in a relevant capacity
- Good knowledge and experience in database technologies
- Good programming skills in C/C++, Java, Python and or R*.
- Good experience in the use of statistical analysis environments such as R, Matlab, SPSS or SAS preferred
- Good experience with BI tools such as Power BI, Tableau, and Microstrategy or the equivalent
- Knowledge and experience in the Public Safety, Transportation and Healthcare domains will have an added advantage
