Wikimedia Foundation Logo

Wikimedia Foundation

Senior Data Scientist

Posted Yesterday
Be an Early Applicant
Easy Apply
Remote
Hiring Remotely in USA
Senior level
Easy Apply
Remote
Hiring Remotely in USA
Senior level
The Senior Data Scientist will build data systems, identify actionable insights, maintain data dashboards, and collaborate across departments to support Wikimedia's Community Growth initiatives with data-informed decision-making.
The summary above was generated by AI

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.

More information

U.S. Benefits & Perks

Applicant Privacy Policy

Wikimedia Foundation

What does the Wikimedia Foundation do?

What makes Wikipedia different from social media platforms?

Our Projects

Our Tech Stack

News from across the Wikimedia movement

Wikimedia Blog

Wikimedia 2030


Top Skills

Apache Superset
Google Looker Studio
Google Sheets
Google Suite
Hadoop
Hive
Excel
Presto
Python
Spark
SQL

Similar Jobs

Yesterday
Remote
USA
Senior level
Senior level
Computer Vision • Healthtech • Information Technology • Logistics • Machine Learning • Software • Manufacturing
This role focuses on utilizing data analysis to support product and go-to-market functions, driving customer acquisition and retention while mentoring junior analysts.
Top Skills: DbtHexLookerPythonSQL
7 Days Ago
Remote or Hybrid
USA
125K-180K Annually
Senior level
125K-180K Annually
Senior level
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
Lead AI-driven insights and predictive analytics for enterprise business applications, focusing on optimizing processes like Quote-to-Cash and customer retention through data analysis and machine learning.
Top Skills: AWSAzureGCPPythonRSnowflakeSQLTableau
12 Days Ago
Easy Apply
Remote or Hybrid
United States
Easy Apply
119K-200K Annually
Senior level
119K-200K Annually
Senior level
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
The Senior Data Scientist will provide data-driven insights, build analytical models, and collaborate with stakeholders to enhance decision-making and operational efficiency.
Top Skills: PythonRSQLTableau

What you need to know about the Boston Tech Scene

Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.

Key Facts About Boston Tech

  • Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
  • Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
  • Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
  • Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account