Develop and apply data solutions for cleansing data to remove errors and review consistency. Perform analysis of data to discover information, business value, patterns and trends to guide asset business solutions. Gather data, identify patterns and relationships, and create prediction models to evaluate client assets.

Monitor client assets and perform predictive and root cause analysis to identify adverse trends; select appropriate methods, define algorithms, and validate and deploy models. Produce reports and visualizations to communicate technical results and recommendations.

Qualifications: Bachelor’s degree with 4 years related experience required; Master’s degree preferred. Consulting experience preferred. Required experience with SQL, R, Java, Python, SAS, SPSS, data mining, predictive analytics, machine learning, and data visualization.

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