We are looking for a talented Data Scientist to join our team at Prominent Edge. We are a small company of 24+ developers and designers who put themselves in the shoes of our customers and make sure we deliver strong solutions. Our projects and the needs of our customers vary greatly; therefore, we always choose the technology stack and approach that best suits the particular problem and the goals of our customers. As a result, we want developers who do high-quality work, stay current, and are up for learning and applying new technologies when appropriate. We want engineers who have an in-depth knowledge of Amazon Web Services and are up for using other infrastructures when needed. We understand that for our team to perform at its best, everyone needs to work on tasks that they enjoy. Most of our projects are web applications which and often have a geospatial aspect to them. We also really take care of our employees as demonstrated in our exceptional benefits package. Check out our website at http://prominentedge.com
for more information and apply through http://prominentedge.com/careers
Ideal candidates are those who can find value out of data. Such a person proactively fetches information from various sources and analyzes it for a better understanding of the problem, and may even build AI/ML tools to make insights. The ideal candidate is adept at using large datasets to find the right needle in a pile of needles and uses models to test the effectiveness of different courses of action. Candidates must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. They must have a proven ability to drive results with their data-based insights. They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large datasets and working with stakeholders to improve mission outcomes. A successful candidate will have experience in many (if not all) of the following technical competencies including: statistics and machine learning, coding languages, databases, and reporting technologies.