Data Scientist

Bachelor’s Degree with course work in analytics, statistics, computer science, informatics, and/or mathematics and 2+ years of experienceRequired Or a Master’s Degree with course work in analytics, statistics, computer science, informatics, and/or mathematicsRequired or 4+ years of experience and passion for leveraging data to drive significant organizational impact.Required Exp w/Shiny, Dash, Flask,or Streamlit to build user-facing interfaces, connect to backend data pipelines, and deploy lightweight analytic applicationsRequired2YearsExperience connecting to backend data pipelines, and deploy lightweight analytic applicationsRequired2YearsExperience using (R, Python, SQL, etc.) to manipulate and draw insights from large data sets as well develop software for automationRequired2YearsAdvanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.)Required2YearsExperience with data manipulation to include cleansing, standardizing, and transformingRequired2YearsBroad knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.)Required2YearsStrong understanding of relational and dimensional databases, theories, principles, and practicesRequired2YearsExperience in leading workshops or training sessions with a user community a plusRequired Exceptional analytical, conceptual, and problem-solving abilitiesRequired Experience generating and distributing visualizations to a broad range of audiencesRequired Must inhabit strategic thinkingRequired Strong written/oral communication and presentation skillsRequired Resourceful self-starter and highly motivated team playerRequired Able to perform well in a fast-paced environmentRequired Effective communicator and someone who enjoys getting to understand nuances of a problemRequired Experience with the following concepts or tools (geocoding and geospatial data, shiny, network diagraming, neo4j, Docker, Kubernetes)Highly desired