Data Scientist

Description

Essential Duties & Responsibilities Develop and integrate creative solutions for leveraging structured and unstructured data in support of department and crossfunctional business objectives.
Develop custom data models and algorithms to apply to data sets.
Develop predictive modeling methods to increase and optimize measurement data quality.
Design, develop and implement data mining tools and analyses to sift through large amounts of data stored in a data warehouse or data mart to find relationships and patterns.
Extend companys data with Microsoft Azure tools including R or SAS.
Utilize and maintain business intelligence tools and applications to generate insights and provide recommendations to drive results.
Enhance data collection procedures to include relevant information for building analytic systems.
Coordinate with various functional teams to implement models and monitor outcomes.
Process, clean and verify the integrity of data used for analysis.
Conduct adhoc analysis and present results in a clear and compelling manner.
Create automated anomaly detection systems and develop methods to regularly track performance.
Train Measurement Analysts in data mining and analytics to enhance groups capabilities.
Resolve problems for internal and external customers using knowledge of data analytics principles.
Serve as a source of expertise on reporting systems and data sources.
Analyze performance metrics and assure metrics are visible and well understood.
Collaborate with department management and recommend specific actions in response to analysis.
Perform statistical or operational analyses on assigned projects in order to identify trends, variances and data gaps.
Identify appropriate statistical and modeling procedures, metrics, budgetary requirements and information requirements for company.
Take action in a selfdirected manner to identify issues and make recommendations to department leadership.
Produce procedures to document data sources, analysis methods and protocols.
Followup on recommended action plans.
Lead or provide input to system and/or process design and configuration.
Solve problems and develop solutions that call for original approach based on thorough and comprehensive knowledge and expertise.
Synthesize data and analysis into highlevel presentations for department or senior leadership.
Plan, prioritize, conduct and lead assignments.
Act as a resource for less experienced team members.