Data Mining Associate
In this position, the practitioner will use advanced statistical/predictive modeling, trend analysis, and other data analysis techniques to identify anomalies, patterns, and behaviors from disparate data sets to support key strategic business decisions.
Specific Duties and Responsibilities:
- Design and develop leading–edge statistical/predictive models from multiple data sources, using the most appropriate techniques and tools in machine learning, pattern recognition, anomaly detection, information retrieval, or stochastic operations research
- Articulate model results, logic, actionable recommendations to clients concisely that maximizes knowledge transfer and hastens the bottom line impact of predictive modeling
- Leverage the predictive model information to design reports to measure emerging trends
- Analyze and find patterns and relationships in data
- Refine methods and processes used to extract data from large structured/unstructured datasets
- Construct systems and algorithms to predict fraudulent behavior
- Lead efforts to brainstorm and generate variables/indicators from both internal and external data sources
- Work with other team members to ensure a variety of robust statistical techniques are being used to construct models
Education and Experience Requirements:
- An undergraduate or graduate degree in Statistics, Econometrics, Mathematics, Computer Science, Management Information Systems, Engineering disciplines, or other quantitative field
- Demonstrated ability to apply statistical techniques to solve real problems
- Practical experience using statistical analysis techniques and building advanced/predictive models (e.g., generalized linear models, decision trees, support vector machines, neural networks, k–means clustering, co–clustering)
- Proficiency with data mining software (e.g., SAS Enterprise Miner, SPSS PASW Modeler, Rapid–I, RapidMiner, Oracle DM)
- Experience working with and managing large data sets with large relational databases (e.g., Teradata, Oracle, MS SQL Server) , including extraction and merges from source systems, data cleansing and transformations, and providing preliminary descriptive statistics.
- Experience with logistics data modeling is a plus
If you meet the above requirements and are interested in the position, please send your detailed resume to info@orionisgroup.com no later than April 15, 2021.