Wearedaro
Overview
About GivingTuesday
GivingTuesday 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 information. As 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.
Position
Data Scientist
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, automate recurrent operations on core datasets Create impactful data visualisations and interactive data dashboards for stakeholders
Qualifications
Interest in the nonprofit and philanthropic sector and use of data to promote better social outcomes 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 and/or business analytics Experience 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 stories Experience 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 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 Attention to detail and ability to synthesise diverse datasets
Special note
GivingTuesday is actively seeking candidates with unique and diverse work backgrounds to grow our team. We are especially excited to talk to you if you have: programming skills (Python, PySpark, SQL, Databricks, Git, pandas); data manipulation and exploration; advanced modelling; experience with Databricks or cloud data platforms; and an advanced degree in a quantitative field (or a strong public record of data exploration).
Location & Work Hours
Remote. 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.
Compensation
Our compensation is competitive and tailored to align with cost-of-living differences across various regions. For applicants in the US, our expected salary range is $50,000 to $70,000 USD per year. 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.
How to apply
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.
#J-18808-Ljbffr
About GivingTuesday
GivingTuesday 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 information. As 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.
Position
Data Scientist
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, automate recurrent operations on core datasets Create impactful data visualisations and interactive data dashboards for stakeholders
Qualifications
Interest in the nonprofit and philanthropic sector and use of data to promote better social outcomes 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 and/or business analytics Experience 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 stories Experience 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 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 Attention to detail and ability to synthesise diverse datasets
Special note
GivingTuesday is actively seeking candidates with unique and diverse work backgrounds to grow our team. We are especially excited to talk to you if you have: programming skills (Python, PySpark, SQL, Databricks, Git, pandas); data manipulation and exploration; advanced modelling; experience with Databricks or cloud data platforms; and an advanced degree in a quantitative field (or a strong public record of data exploration).
Location & Work Hours
Remote. 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.
Compensation
Our compensation is competitive and tailored to align with cost-of-living differences across various regions. For applicants in the US, our expected salary range is $50,000 to $70,000 USD per year. 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.
How to apply
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.
#J-18808-Ljbffr