Data Scientist

Develop compelling and useful knowledge products for GivingTuesday stakeholders, including academics, data partners, the social/nonprofit sector, and the general public. Responsibilities Work with a wide range of data types including donation data, transaction records, government and census data, nonprofit tax filings, survey data on perceptions and activity, and philanthropic investment account data, gathered from collaborators and institutional partners in the nonprofit ecosystem. Deliver and write analyses with actionable insights and communicate these findings to cross functional stakeholders of varying technical levels. Manage key datasets and improve their usability by creating database dictionaries and user documentation. Improve existing data processing pipelines, and automate recurrent operations on core datasets. Create impactful data visualizations and interactive data dashboards for stakeholders. Skillset Advanced analytical skills in a research context, conducting exploratory analysis and mapping data flows, integration of datasets, and reviewing data sources and tools. Experience with statistical methods including hypothesis testing, regression analysis, and sampling techniques for the purposes of social science research (such as economics) and/ or business analytics. Experience working with scripting languages (Python required) and data querying languages (SQL preferred). Solid data visualization skills and an aptitude for translating technical outputs into compelling stories. Experience with software development tools and practices (e.G. version control, git). Understanding of legislation around privacy and best practices for securing data. Solid relationship management skills, with the ability to collaborate with a variety of internal and external stakeholders on complex research initiatives. Outstanding written and oral communication skills in English and an ability to communicate clearly and directly. Attention to detail and ability to synthesize diverse datasets. Interest in the nonprofit and philanthropic sector and use of data to promote better social outcomes. Spot any inaccurate information? Have a job to share? Let us know. #J-18808-Ljbffr