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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