Job Description:

• focus will be in applying data mining techniques, doing statistical analysis, suggest actions and overall executing analysis projects collaboratively and under limited supervision within an agile analytics life-cycle.
• Execute the full-scope of advanced analytic techniques
• Responsible for data surveying, profiling, and pre-processing Model data management for validation (e.g. holdout, cross-validation) Selection of appropriate algorithms and execution
• Synthesize appropriate recommendations for action and changes
• Present findings, suggested actions and changes to a broad audience, and help manage follow-ups and execution

Requirements:

• Advanced skills and experience with R (required) and/or Python (desired) (including relevant packages) in support of advanced analytics
• Advanced-level skills with relational databases, including SQL and utilizing data stored in complex schemas
• Expert-level logical and analytic skills
• Broad experience and solid theoretical foundation on the modeling process using a variety of algorithms Data profiling, distributions, confidence intervals, hypothesis testing
• Holdout for testing, cross-validation Data pre-processing, exploratory data analysis using a variety of techniques Regression and classification using linear models, GLMs, and tree-based methods
• Strong synthesis and presentation skills