Data Scientist, Givingtuesday

About GivingTuesdayGivingTuesday is a global generosity movement unleashing the power of people and organizations to transform their communities and the world. The organization works with partners across sectors and borders to understand the drivers and impacts of generosity, explore giving behaviors and patterns, and use data to inspire more giving around the world. GivingTuesday offers the largest philanthropic data collaborative effort in the social sector — with unique, granular datasets from a wide range of organizations featuring key sector informationAs we scale up, we are expanding our team of data scientists, researchers and engineers, who will continue to grow and improve our unique data assets, methodologies, and technical infrastructure.In pursuit of the goals and expansion of the data commons, GivingTuesday partners with key organizations to leverage their expertise to manage and lead different aspects of the work. These data & technology partners (DARO, With Intent) manage staff, projects, and ongoing functions for the data commons with dedicated staff embedded in GivingTuesday in those capacities in cross-functional roles. This role is one of these positions - managed by our partner organizations but embedded in GivingTuesday's Data Team.Data ScientistOur global data science team works on a diverse set of problems and projects related to learning, insights, and impact measurement in the nonprofit sector. We are looking for a Data Scientist to join our growing team, where they will work with data engineers, analysts, and other team members to develop compelling and useful knowledge products for GivingTuesday stakeholders, including academics, data partners, the social/nonprofit sector, and the general public.In this role you will: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 ecosystemDeliver and write analyses with actionable insights and communicate these findings to cross functional stakeholders of varying technical levelsManage key datasets and improve their usability by creating database dictionaries and user documentationImprove existing data processing pipelines, automate recurrent operations on core datasetsCreate impactful data visualisations and interactive data dashboards for stakeholdersWe are looking for someone with:Interest in the nonprofit and philanthropic sector and use of data to promote better social outcomesAdvanced analytical skills in a research context, conducting exploratory analysis and mapping data flows, integration of datasets, and reviewing data sources and toolsExperience with statistical methods including hypothesis testing, regression analysis, and sampling techniques for the purposes of social science research (such as economics, mixed methods) and/ or business analyticsExperience working with scripting languages (Python required) and data querying languages (SQL preferred)Solid data visualisation skills and an aptitude for translating technical outputs into compelling storiesExperience with software development tools and practices (e.g. version control, testing outputs, and applying QA processes)Understanding of legislation around privacy and best practices for securing dataSolid relationship management skills, with the ability to collaborate with a variety of internal and external stakeholders on complex research initiativesOutstanding written and oral communication skills in English and an ability to communicate clearly and directlyAttention to detail and ability to synthesise diverse datasetsGivingTuesday is actively seeking candidates with unique and diverse work backgrounds to grow our team. We are especially excited to talk to you if have:Programming skills: Python, PySpark, SQL, Databricks, Git, pandasData Manipulation and ExplorationAdvanced Modelling: Regressions, Clustering, Dimensionality Reduction, Classification, Bayesian, Time-Series Analysis, prompt engineeringExperience working with data platforms such as Databricks (or other forms of cloud data lakes/warehouses/lakehouses)An advanced degree in a quantitative research-field (definitely not required). Non-degreed candidates must possess an extensive public record of competent, curiosity-driven data exploration on github, huggingface, kaggle, stackoverflow or similar.Location & Work HoursRemote.We are happy to consider applicants based in countries outside of where this is posted.This is a full-time position. We are looking for candidates who can overlap with a 9:00 to 5:00 EST work-day, with some flexibility.CompensationOur compensation is competitive and tailored to align with cost-of-living differences across various regions. We look forward to meeting candidates from diverse backgrounds who can bring unique perspectives to our teamFor applicants in Brazil, our expected total annual compensation package is $144,000 BRL to $240,000 BRL.GivingTuesday is committed to a work environment where our employees feel included, valued, and heard. If you require any accessibility accommodation in the interviewing process please let us know.We know that applying for a job takes a lot of time and energy and we treat every application with care and attention. Only those applicants who are selected will be contacted. To apply, please provide your resume and a short cover letter describing your interest in the position.