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Data Scientist (Chaos Research Institute)

The purpose of the Chaos Institute is to provide background information and tools to help people solve the difficult problems they experience in their daily lives. There’s a reason why these problems are so challenging: we’ve been trained to think in ways that aren’t very compatible with complexity. New ways of thinking are being developed that are much more useful for dealing with complexity at all levels of scale, from family issues to international disputes. On this website you’ll learn a bit about how our thinking has been shaped by science, and how the new sciences of chaos and complexity theories, along with systems thinking, are generating approaches that are more effective in handling such issues. If you use the information on this site and make an effort to learn about complexity, you’ll find yourself developing new capacities for problem-solving.

The Chaos Institute was created by Jo Vanderkloot and Judy Kirmmse: we are two friends and collaborators who share an interest in solving complex problems using tools derived from these models. Separately and together we have honed this approach working with families and workplaces. We are eager to share what we’ve learned and to dialogue on our blog about difficult problems our readers are facing. Here is our background.

Responsibilities
  • Be responsible for AI Brain's background data mining, realize data support for Brain algorithm and value conversion from AI to BI, and bring business value to the company.
  • Be responsible for the construction and architecture design of big data platform, participate in demand analysis, technical decision and standardize customization.
  • Be responsible for the interface design of data development and provide relevant technical interfaces for Brain algorithm.
  • Responsible for the development and optimization of public relations core modules such as synchronization, storage, indexing, analysis, scheduling and monitoring subsystems. To solve the technical difficulties of high concurrency, high availability and real-time calculation.

Qualifications
  • Bachelor's degree or above, experience in big data platform development.
  • Be familiar with SPARK and Hadoop big data processing platforms, including installation configuration, instruction use, and KAFKA algorithm processing logic.
  • Responsible for ETL data processing flow, feature extraction, analysis and algorithm design.
  • Be familiar with various algorithms of data processing, including density model and sparse model, and be familiar with the advantages and disadvantages of linear model and nonlinear model.
  • Be familiar with the analysis and processing of high dim data, familiar with the geometric meaning of regularization constraints, and familiar with the s analysis of data.
  • He has considerable experience in concurrent processing of big data, performance tuning, system disaster tolerance, business division and architecture design.
  • Familiar with Java, C + +, C, Python, SQL and other development languages.
  • Have the spirit of technical study, team cooperation and strong self-driving learning ability.
To apply, please submit your resume to resume@alariss.com and note why you believe you'd be a good fit.