Burlington, VT30+ days ago
Relevant experience can include some combination of: • Large Data Management: querying, extracting, cleaning, verifying, resolving, and maintaining data • Large Data Analysis: statistical methods, graph networks, anomaly detection, spatial analysis, pattern-of-life, sentiment analysis • Large Data Modeling: risk modeling, community detection, classification, computer vision, and general application of machine learning (ML) and artificial intelligence (AI) models • Large Data Storytelling: explaining insights and methodology to a non-technical audience, dashboards, plots & visualizations, direct experience with customers • Programming: Candidates must have practical experience writing, editing, customizing, and executing code written in Python • SQL proficiency: Candidates must have experience using SQL for data extraction, pipelining, or exploration • Ability to handle sensitive, confidential, or regulated data in accordance with applicable policies and requirements • Ability to interface directly with customers at all levels and be a representative of TRSS • Ability to work both independently and as a member of a team. Teams may include other Data Scientists or be cross-disciplinary and include Subject Matter Expert Analysts and/or Data Engineers • Ability to interpret customer requests and/or problem statements into clear project plans, develop project goals and methods, and to deliver actionable results within required timeframes.