Creates innovative vision and strategy, along with business application and modeling framework for new datasets, and leads the discovery of insights and relationships from large/complex datasets through investigative research using advanced mathematical and/or statistical techniques.
Explores data using a variety of advanced statistical techniques to proactively identify relationships, create insights and answer business questions or guide future model development.
Build the hypothesis, identify research data attributes and determine best approach to address business issues.
Combines business acumen with mathematical capabilities to build complex predictive models to support business partner objectives and business needs.
Builds complex programs for running statistical tests on data and for understanding correlation of various attribute.
Incorporates findings and provides industry and competitor insights as part of model development and enhancement
Interacts with leadership to assist in the development of strategic direction for the business or business partners.
Researches and maintains awareness of industry best practices and business strategies.
Proactively brings in new and innovative ideas and approaches to develop business solutions.
Monitors industry and competitor trends to determine potential impact to predictive models.
Incorporates findings and provides industry and competitor insights as part of model development and enhancement.
Identifies, leverages and develops expertise in emerging technologies, open source tools, and harnesses new techniques.
Networks with and contributes thought leadership to the broader external analytics community. Builds awareness of leading techniques, tools, and data resources.
Leads complex research or analytics projects related to large, complex business initiatives. Applies expert knowledge of emerging trends and industry practices.
Functions in a collaborative and consultancy role. Routinely leads discussions with senior management.
Interacts and leads discussions with company senior leadership to inform on industry trends and emerging research topics. Serves as internal expert for new areas of analytics exploration.
Leads the development of new analytical and data science capabilities.
Mentors less experienced data science professionals.
Serves as internal thought leader, and provides knowledge transfer and training on new modeling tools and methodologies to less experienced staff.
Applies advanced design of experiment techniques, as needed, across various business experiments in order to provide cause and effect statistical assessments of initiatives that are driving performance.
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