The Community Growth team at the Wikimedia Foundation works to improve knowledge equity by supporting our global communities of volunteers through grantmaking, capacity development, and strategic partnership building. We are looking for a Senior Data Scientist, reporting to the Manager of Data, Learning & Evaluation (Community Growth), who will support the strategic work of Community Growth with impactful, accessible, and ethical data and insights.

As a Senior Data Scientist, you will work in a complex data ecosystem to build critical, resilient data pipelines and self-service dashboards and reports, empowering Community Growth teams and leaders to make data-informed decisions to iterate and adapt their support of Wikimedia communities.

You are responsible for:

In partnership with the DL&E Manager, building data systems for grant-funded activities and outcomes that enable standardization and connection with our primary data pipelines
Creation and maintenance of internal data dashboards to track Community Growth programs' outcomes and impacts
Identifying actionable insights from trends and themes across datasets to inform reports and decision-making about grantmaking, partnerships, and programmatic interventions
Designing Community Growth data processes for maximum effectiveness, building data frames and connecting to pipelines for effective and efficient storage and retrieval, basic aggregation and ETL
Collaborating across departments, including with technology data teams, to ensure that calculation of metrics are aligned with Foundation-level metric practices
Proactively identifying requirements to support and improve an evolving data ecosystem

Skills and Experience:

Fluency in English
Bachelor’s degree and five years related experience OR a Master’s degree and at least three years related experience; or equivalent advanced work experience in data analysis, data science, research and analytics or a related field
Proven experience with programming languages, particularly SQL and Python
Experience calling and working with APIs in Python, including authentication, pagination, and JSON data handling
Experience working with large-scale data processing & storage tools (we use Hadoop, Hive, Presto, and Spark)
Experience with data visualization and dashboarding tools like Apache Superset, Google Looker Studio, or similar tools
Experience with Google Suite (Including the full suite of collaborative apps and advanced coding in Google Sheets/MS Excel)

Qualities that are important to us:

Ability to address problems of diverse scope using good judgment in selecting methods and techniques for obtaining quality and efficient solutions
Ability to communicate findings and recommendations clearly to colleagues with diverse backgrounds and areas of expertise
Experience with or exposure to ethical data management and privacy practices
Ability to problem solve and to learn and apply new technologies and tools
Desire to learn, share knowledge, and help other colleagues
Flexibility and openness to change and new information

Senior Data Scientist

Anywhere in the world

Remote

Senior

Wikimedia Foundation