Data Scientist

The Data Scientist will provide insights and expertise on how to exploit Agency and external datasets to deliver insights into the potential for and disbursement of disaster recovery loans for homeowners and business owners across the nation. This work will also explore the fairness of the outreach and awarding of loans across economic and demographic. Duties Find patterns and trends in datasets to uncover insights Create algorithms and data models to forecast outcomes Use machine learning techniques to improve the quality of data or product offerings Communicate recommendations to other teams and senior staff Deploy data tools such as Python, R, SAS, or SQL in data analysis Stay on top of innovations in the data science field Advise the team on the use Artificial Intelligence, Machine Learning and other advanced data utilization and exploitation techniques Qualifications Bachelor's degree in mathematics, statistics, computer science, data science or field directly related to the position. Or courses equivalent to a major field of study (30 semester hours), plus additional education or appropriate experience. Demonstrated experience with the following: Data analytical process and limitations Custom data analytics application development Requirements building Rapid prototype development Python coding or tailoring of existing codes General professionalism including: Ability to remain productive and connected when working remotely Demonstrating professionalism in oral and written communications Disciplined documentation of work performed and General competency with standard office application Eagerness to grow and accept new challenges Desired Skills: Technical expertise with the following: Python, R, or other commonly used languages for data processing and exploitation Business intelligence software (eg. Power BI, Tableau) Familiarity and willingness to master: Python script development Connecting to and pulling data (aka ETL) from external sources via APIs Training content development methodologies Nice to have: Familiarity with Agency recovery missions, FEMA's GIS activities or other disaster related applications of data Experience with Artificial Intelligence (AI), Machine Learning (ML) and predictive analytics Experience working with geospatial information and interactive mapping technology Experience with the Software Development Lifecycle, Agile development or other contemporary approaches used for developing software Awareness of and familiarity with Open-Source tools and data Security Requirement: Public Trust About UpSlope: UpSlope Advisors Inc. is a SBA-certified 8(a) Professional Engineering Services business based in Denver, CO, with additional offices in Tyson Corner, VA, and St Louis, MO. Since 2016, UpSlope has provided Mission First solutions and advisement to the U.S. Intelligence Community, the U.S. Department of Defense, and other governmental agencies. About the Client and Mission: UpSlope is leading a joint venture in support of a Government Agency that requires deep analysis of data relating to their disaster loan programs. This work will be completed by a team of experts in advanced data, geospatial analytics, user experience design and training. This work will employ a number of emerging technologies and requires a diverse and innovative technical team to ensure the best post-disaster loan experience for homeowners and small businesses. This work aims to expedite SBA disaster recovery loan making which will, in turn expedite recovery for families, businesses and communities.