Work with senior management and key business stake holders in identifying and prioritizing actionable, impactful insights across a variety of core business fronts, driving informed decision-making across the business.
Determine appropriate analytics technique for addressing classes of business problems. Assesses feasibility of analytics use cases in POC studies.
Uses statistical analysis and techniques including regression, cluster analysis, text analysis, neural networks, data mining etc. to develop advanced analytics models for diagnostic, predictive and prescriptive use cases.
Builds analytics solutions that drive the business closer to its overall goals and objectives while guaranteeing statistical integrity and implementing accuracy tracking and analytics lifecycle management techniques.
Works with cloud & data engineers to deploy & integrate analytics based solutions using scalable, performant and cost efficient machine learning pipelines.
Provides mentorship and guidance to junior data scientists and data analysts.
Maps analytical insights into actionable recommendations and identify and communicate the ‘so what’ in the results generated. Leverage business knowledge, storytelling and expertise to enable greater adoption with end users.
Acts as a change agent, engaging with business stakeholders and others in the data science community at AGCO to continue to educate, increase awareness, and build support for world class data and analytics.
Stays up to date on leading data science and analytic practices, trends, design, learning and development cycles.