Ajah

Data Scientist, GivingTuesday

Ajah

full-time

Posted on:

Origin:  • 🇺🇸 United States

Visit company website
✨ AI Apply
Manual Apply

Salary

💰 $50,000 - $70,000 per year

Job Level

Mid-LevelSenior

Tech Stack

CloudPandasPySparkPythonSQL

About the role

  • 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.

Requirements

  • Interest in the nonprofit and philanthropic sector and use of data to promote better social outcomes.
  • Advanced analytical skills in a research context, including exploratory analysis, data flows, data integration, and data source/tools review.
  • Experience with statistical methods such as hypothesis testing, regression analysis, sampling techniques for social science research and/or business analytics.
  • Proficiency with scripting languages (Python required) and data querying languages (SQL preferred).
  • Strong data visualization and ability to translate technical outputs into compelling stories.
  • Familiarity with software development tools and practices (version control, testing, QA).
  • Understanding of privacy legislation and best practices for securing data.
  • Excellent written and oral communication; ability to collaborate with internal and external stakeholders.
  • Experience with Databricks or cloud data lakes/warehouses; knowledge of data platforms like Databricks.
  • Capabilities in Regressions, Clustering, Dimensionality Reduction, Classification, Bayesian, Time-Series Analysis, prompt engineering.
  • An advanced degree in a quantitative field; or if not, a public record of competent data exploration on GitHub, HuggingFace, Kaggle, StackOverflow or similar.