Job Code:IT_SL1

Location: Toronto, ON

Duration: 2 years +

Mandatory Skills:

• 7-10 years of experience in Data Analysis
• Postgraduate qualification in Statistics (OR Computer Science) from a premier institute
• Having hands-on experience on advanced analytics concepts and algorithms (e.g. Regression analysis Logistic Regression/Decision Tree, Monte Carlo methods, Survival Analysis, Simulation, Random Forest, Time series analysis etc.)
• Exposure to tools – SPSS, SAS, R, Python
• Excellent communication and Client interfacing skills
• Excellent critical thinking and problem solving skills

Job Responsibilities

• Developing advanced algorithms that solve problems of large dimensionality in a computationally efficient and statistically effective manner
• Implementing statistical and data mining techniques e.g. hypothesis testing, machine learning, and retrieval processes on a large amount of data to identify trends, patterns and other relevant information
• Expert on creating predictive models using SAS Enterprise Miner
• Knowledge of databases, data modeling, data normalization etc. is a must
• Collaborating with clients and other stakeholders to effectively integrate and communicate analysis finding
• Providing guidance and project management support to the Associates on the team
• Evaluating emerging datasets and technologies that may contribute to our existing analytical platforms
• Establish the scope of the project, lead internal communication with stakeholders, and ensure delivery of the project per commitment.
• Contributing to the thought leadership of the company by helping in researching the evolving topics and publishing them.
• Healthcare knowledge especially claims & member data is a very preferable