Responsibilities
? Collaborate with end customer and internal cross-functional stakeholders to understand their business needs. Formulate a roadmap of project activity that leads to measurable improvement in business performance metrics/key performance indicators (KPIs) over time.
? Conduct end-to-end analysis that includes data gathering and requirements specification, analysis, ongoing scaled deliverables and presentations.
? Architect, develop and automate Business Intelligence (BI) and analytics solutions. Iteratively build and prototype dashboards to provide insights at scale.
? Make business recommendations (cost-benefit, invest-divest, forecasting, impact analysis) with effective presentations of findings at multiple levels of stakeholders through visual displays of quantitative information.
? Develop comprehensive understanding of data structures and metrics, advocating for changes where needed.

Qualifications
? A PhD in an data-related discipline.
? Previous experience as a Project Leader or Project Scientist for data-driven projects, or demonstrated potential from other leadership roles to assume such a role.
? Demonstrated knowledge of data services and/or previous research experience involving extensive use of such services.
? Ability to engage and build relationships across a range of stakeholder groups and technical project teams.
? The ability to work effectively as a member and leader of a regionally dispersed project team to provide the high level specifications, communications and science leadership needed to ensure that project deliverables are met.
Role Specific Characteristics May Include
? Background in Computer Science, Electrical Engineering, Statistics, Physics, Mathematics, Operations Research or equivalent technical field
? Knowledge of machine learning and data mining techniques in one or more areas of statistical modeling methods, time series, text mining, optimization, information retrieval.
? Ability to prototype statistical analysis and modeling algorithms and apply these algorithms for data driven solutions to problems in new domains.
? Software development skills in one or more high level languages (C#/C/C++/Java/F#), one or more scripting languages (Python/Perl/Shell), knowledge of R. Expertise any of the common ML tools (Weka, R, RapidMiner, KNIME, Scikit Learn, SAS, SPSS, ModelBuilder etc.) is a plus.
? Ability to build production grade machine learning enabled solutions end to end.
? Ability to build production grade artificial intelligence enabled solutions end to end.