To collaborate and partner with key stakeholders to deliver the next generation AI, ML and Predictive analytics Model
To work as part of an Data science team enabling the integration of data sources with next generation technologies across functional boundaries
Enable Power users and decision makers to solve ever more complex problems by encouraging and delivering innovative solutions that impact business outcomes
Work with analysts, project teams and other leaders within Syngenta, translating data-driven insights into actions and decisions
Lead and drive a culture of creativity and expert support, enabling yourself and the team to identify, design and deliver appropriate datasets and linkages for complex data.
Accountabilities
Drive the creation of new models and capabilities that will leapfrog traditional approach based modeling and accelerate new ways of thinking
leveraging a wide array of data from both traditional (Internal) and nontraditional (External) sources
Conceptualize, analyze and develop actionable recommendations for strategic challenges facing the organization
Work with key stakeholders and understand their needs to develop new or improve existing solutions around data and analytics
Develop analytical approaches to meet business requirements; this involves translating requests into use cases, test cases, preparation of training data sets and iterative algorithm development
Manage data analysis to develop fact-based recommendations for innovation projects
Mine Big Data and other unstructured data to tap untouched data sources and deliver insight into new and emerging solutions
Work with cross-functional teams to develop ideas and execute business plans
Remain current on new developments in data analytics, Big Data, predictive analytics, and technology
Qualifications
Minimum education
Bachelor’s or Master’s degree in Informatics, Computer Science, or related fields
Critical knowledge
Problem solving skills with the ability to design algorithms, which may include data cleaning, data mining, data clustering and pattern recognition methodologies
Strong skills in statistical analyses with abilities in advanced data management and statistical programming using SAS, and R
Experience designing and implementing Big Data solutions Experience in customer scoring, risk modeling, credit scoring, fraud detection, causal analysis, and pattern recognition Familiarity with Agile methodology
Ability to work cross-functionally in a highly matrix driven organization, at times under ambiguous circumstances
Experience with a range of big data architectures Broad understanding and experience of real-time analytics
Proven research background, in industry work or academia, with an emphasis on delivering research that has a critical impact on multiple projects
Provide a unique blend of skills that both unlock the insights of data and tell a fantastic story through the data Ability to use a hands on approach to integrate math, algorithms, and an understanding of human behavior
Critical experience
8+ years’ experience in modeling and predictive analytics with experience working with unstructured data
Large scale data integration and analysis
Big Data tools, analysis, methods and integration
Knowledge of informatics, analytics, computational science, service management, delivery
Knowledge of toolsets and capabilities utilized by expert data scientists and modelers
