Data Scientist

Solution Engineer

• Experience with time series and dynamical systems.




• Experience with scalable ML (MapReduce, streaming).




• Experience in Designing and deploying Machine Learning algorithms for industrial applications such as fraud detection and predictive maintenance.




• Experience with Git or other version control software




• 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

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