What are the responsibilities and job description for the PhD Statistician position at Rhombus Power Inc.?
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.
All potential applicants are encouraged to scroll through and read the complete job description before applying.
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.
About Rhombus
Rhombus 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.
Job Responsibilities
PhD Statisticians will be using advanced statistical analysis to maintain and improve modeling and simulation models to drive analytically defensible decisions. They will create, apply, and evaluate the 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.
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 :
Benefits :
Apply for this job
First Name
Last Name
Phone
Resume / CV
LinkedIn Profile
Website
This role requires you to be on-site for 4 days / week. Please let us know if you're able to meet this requirement.
J-18808-Ljbffr
