PhD Statistician Palo Alto, California, United States

Rhombus Power is purposefully transforming defense and global security enterprises with Guardian, our Artificial Intelligence platform for strategic, operational, and tactical decision-making at the speed of relevance.We provide relevant, actionable, and AI-powered insights at each step in the defense decision-making cycle. Equipped with Guardian's AI-powered tools—from infrastructure to data to insights—our clients are able to solve their most complex, interconnected challenges and achieve decision and operational superiority.Come join our cross-disciplinary and world-class team that is delivering game-changing solutions to transform global security.PhD Statisticians will be using advanced statistical analysis to maintain and improve modeling and simulation models to drive analytically defensible decisions. They will create and apply and evaluate performance of advanced analytical and mathematical models to solve complex decision-making problems. These analytically informed decision-making augmentation frameworks enable users to more confidently select optimal courses of action.They will use pen and paper, Python, high performance computing, cloud computing, big data analytics, and data visualization tools and techniques to improve system designs, assist in designing models and model performance frameworks, evaluate existing models and model performance frameworks, minimize model drift, and achieve balanced model performance parameters based on use case specifications.Successful candidates will bring a systems thinking mindset, a solid foundation in statistical techniques, modeling and simulation skill sets, and the ability to communicate clearly in multiple technical contexts in a fast-paced setting.Required Skills/Qualifications:PhD Degree in Statistics or Mathematics required. (Current PhD students will be considered)Deep experience with modeling and simulation (multi-scale)Preferred Skills/Qualifications:Experience and knowledge of modern data analysis and data management techniques. We're seeking candidates who can code efficiently in Python (R is a good foundation).Experience in the use of linear programming, principal component analysis, cluster analysis, univariate and multivariate regression analysis, reliability, and time-series analysis methods to form predictive models for specific response variables.Advanced skills in Excel, including complex formulas and Cognos Report Studio/Framework Manager, VBA, JMP, MATLAB, Minitab, R, SAS, and BI tools/frameworks.Experience presenting and leading with substantial exposure and involvement with data science, cloud infrastructure, solution architecture, application development, and data engineering.Effectively work across teams to problem solve, define scope, write technical specifications, quantify and track success metrics, and manage against a plan.Excellent presentation, written, communication with keen attention to detail, and interpersonal skills.About RhombusRhombus Power Inc. (Rhombus) is a startup located in the heart of Silicon Valley at Stanford Research Park in Palo Alto. We use cutting-edge cross-disciplinary approaches to solve pressing Big Data and Sensing problems in security, energy, and healthcare. Our advisory board includes two Nobel Laureates and a Draper Prize winner.Rhombus compensates, motivates, and develops employees, who are trusted, empowered, and involved. Employees have clear roles and expectations – and their roles are flexible enough to move at the speed of innovation in order to meet and exceed client expectations. We have a unique culture of global purpose, rooted in the innovation and progress of Silicon Valley.Rhombus knows that diversity is a condition for success. We are committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action Employer. #J-18808-Ljbffr