**Senior Data Scientist
Summary**
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
And we'd love it if you have:
- Advanced statistical training and experience
- Interest in or knowledge of Wikimedia projects, the free knowledge movement, global education and/or international development
- Cross-cultural sensitivity and awareness
- Experience with open-source tools
- Fluency in languages other than English
- Nonprofit, NGO or INGO experience
About the Wikimedia Foundation
The Wikimedia Foundation is the nonprofit organization that operates Wikipedia and the other Wikimedia free knowledge projects. Our vision is a world in which every single human can freely share in the sum of all knowledge. We believe that everyone has the potential to contribute something to our shared knowledge, and that everyone should be able to access that knowledge freely. We host Wikipedia and the Wikimedia projects, build software experiences for reading, contributing, and sharing Wikimedia content, support the volunteer communities and partners who make Wikimedia possible, and advocate for policies that enable Wikimedia and free knowledge to thrive.
The Wikimedia Foundation is a charitable, not-for-profit organization that relies on donations. We receive donations from millions of individuals around the world, with an average donation of about $15. We also receive donations through institutional grants and gifts. The Wikimedia Foundation is a United States 501(c)(3) tax-exempt organization with offices in San Francisco, California, USA.
As an equal opportunity employer, the Wikimedia Foundation values having a diverse workforce and continuously strives to maintain an inclusive and equitable workplace. We encourage people with a diverse range of backgrounds to apply. We do not discriminate against any person based upon their race, traits historically associated with race, religion, color, national origin, sex, pregnancy or related medical conditions, parental status, sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, or any other legally protected characteristics.
The Wikimedia Foundation is a remote-first organization with staff members including contractors based 40+ countries*. Salaries at the Wikimedia Foundation are set in a way that is competitive, equitable, and consistent with our values and culture. The anticipated annual pay range of this position for applicants based within the United States is US$106,227 to US$167,858 with multiple individualized factors, including cost of living in the location, being the determinants of the offered pay. For applicants located outside of the US, the pay range will be adjusted to the country of hire. We neither ask for nor take into consideration the salary history of applicants. The compensation for a successful applicant will be based on their skills, experience and location.
- Please note that we are currently able to hire in the following countries: Australia, Austria, Bangladesh, Belgium, Brazil, Canada, Colombia, Costa Rica, Croatia, Czech Republic, Denmark, Egypt, Estonia, Finland, France, Germany, Ghana, Greece, India, Indonesia, Ireland, Israel, Italy, Kenya, Mexico, Netherlands, Nigeria, Peru, Poland, Singapore, South Africa, Spain, Sweden, Switzerland, Uganda, United Kingdom, United States of America and Uruguay. Our non-US employees are hired through a local third party Employer of Record (EOR).
We periodically review this list to streamline to ensure alignment with our hiring requirements.
All applicants can reach out to their recruiter to understand more about the specific pay range for their location during the interview process.
**If you are a qualified applicant requiring assistance or an accommodation to complete any step of the application process due to a disability, you may contact us at [email protected] or +1 (415) 839-6885.
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