Data Scientist / Senior Data Scientist
Experience with JavaScript and Java.
Experience with time series and dynamical systems.
A portfolio of projects (GitHub, papers, etc.).
Experience with scalable ML (MapReduce, streaming).
Experience in Designing and deploying Machine Learning algorithms for industrial applications such as fraud detection and predictive maintenance.
Solution Engineer
Software development experience with JavaScript and Python
Experience with Git or other version control software
Experience working with JavaScript frameworks such as React, Redux, Vue, Backbone, or Angular
Experience deploying software to least one of the leading cloud computing platforms (i.e., GCP, AWS, Azure)
Understanding of SQL and NoSQL databases
Proficiency in data structure and algorithm design and implementation
Proficiency in time-series data analysis, cleansing, and normalization
Working knowledge of Agile software development methodology
Solid understanding of common machine learning techniques, applications, and trade-offs
Domain expertise in one or more of the following industries: Aerospace, Financial Services, Healthcare, Industrial Manufacturing, Oil & Gas, Public Sector, Power & Utilities, Supply Chain, Telecommunications