Computational Mathematician
Fully Remote
Description

 
Mobius Logic, Inc. works with partners in US government to understand and identify exploratory AI research that shows sufficient promise and to develop these ideas into practice via R&D solutions. Practically, we aggregate Technology Readiness Level (TRL) 2-3 ideas and develop them into TRL 4-5 technologies.


As a Computational Mathematician at Mobius Logic, you will leverage analytic and technical skills to innovate, build, and

maintain well-managed data solutions and capabilities to tackle business, science, engineering and research problems. On any given day you will be challenged on three types of work – Innovation, Business Intelligence and Data Management:


Innovation

  • Use Open Source/Digital technologies to mine complex, voluminous, and different varieties of data sources and platforms.
  • Build well-managed data solutions, tools, and capabilities to enable a variety of complex systems and applications across a variety of industries including defense, healthcare, litigation and finance.
  • Demonstrate ability to explore and quickly grasp new technologies to progress varied initiatives.

Business Intelligence

  • Partner with the business to provide consultancy and translate the business needs to design and develop tools, techniques, metrics, and dashboards for insights and data visualization.
  • Drive analysis that provides meaningful insights on business strategies.

Data Management

  • Drive an understanding and adherence to the principles of data quality management including metadata, lineage, and business definitions.
  • Work collaboratively with appropriate Tech teams to manage security mechanisms and data access governance.
  • Build and execute tools to monitor and report on data quality.
Requirements
  • Master’s degree or higher in Computer Science, Engineering, Applied Mathematics, Statistics or other technical or mathematical fields.
  • At least 2 years’ experience with Python, R, Spark, SQL or other statistical programming language.
  • Willingness to learn, and adaptability to new procedures.
  • Strong foundation in predictive modeling, optimization, and data governance standards.
  • 3+ years of experience in data science field, including mathematics, statistics, programming modeling data.
  • 3+ years of experience in machine learning with data sets of various types: images, sensor data, text.
  • Experience in problem-solving and critical thinking to analyze and resolve complex problems using expertise in analytical or technical tools and techniques.
  • Ability to work with other team members and communicate technical needs to and from full stack developers and other team members.
  • Ability to accurately organize and present ideas in written deliverables and develop tailored and client-ready documents.
  • U.S. Citizenship is required.
  • This is an exempt full-time position. Part-time option could be explored with the appropriate candidates.