The Wikimedia Foundation is seeking a Data Science Manager to lead the Product Analytics team, reporting to the Senior Director, Research and Decision Science. This role is central to delivering actionable insights that shape product strategy and decision-making across Wikimedia's global platforms.
What You'll Do
- Timely delivery of accurate quantitative data and insights to inform strategy, guide product decisions, and assess the impact of product development work – balancing the need to operate in a fast-changing environment with appropriate rigor.
- People management for a team of roughly seven data scientists and nurturing a strongly collaborative and inclusive culture of trust, excellence, and empowerment.
- Mentoring team members on critical thinking, data-informed storytelling, technical skillset, and stakeholder partnership.
- Partnering with the Experiment Platform & Data Engineering teams to build and maintain data products that make data and insights accessible.
- Collaborating with product teams – especially product managers – and colleagues in the Research & Decision Science group to cultivate a practice of data-informed product development and decision making.
- Continuous development and improvement of experimentation and measurement best practices, product health metrics, visualizations, and reports for easier interpretation and increased accessibility.
What We're Looking For
- Candidates must be located within the UTC+1 to UTC-8 time zones.
- Availability for critical meetings and synchronous work between 14:00 and 22:00 UTC.
- Ability to travel for offsites and conferences (up to 4 times per year).
- Deep experience with experimental design and statistics, applied to internet-scale audience or user experience data.
- Experience collaborating with product development teams in a fast-paced environment to test, analyze, and evaluate user-facing features.
- Prior experience as a people manager.
- Demonstrated commitment to equity, inclusion, and diversity.
- Experience with large-scale data processing & storage tools (we use Hadoop, Hive, Presto, and Spark).
Nice to Have
- Exposure to, and interest in, ethical data management and privacy practices.
- Contributed to Wikimedia projects or have experience working in other open source projects.
- Experience with Superset, Growthbook, or other open-source testing, data visualization, or reporting tools.
Technical Stack
- Hadoop
- Hive
- Presto
- Spark
- Superset
- Growthbook
Team & Environment
- Team size: roughly seven data scientists
- Structure: Product Analytics team within Research and Decision Science group
- Reports to: Senior Director, Research and Decision Science
- Commitment to equity, inclusion, and diversity.
- Empathy towards Wikimedia affiliates and volunteer communities.
- Discretion and competence in handling sensitive or confidential data.
- Curiosity and critical thinking; lifelong learning.
- High emotional intelligence: humility, tact, compassion, integrity, listening skills.
- Strong collaboration and empowerment in open and transparent management.
- Commitment to the mission and values of the Wikimedia Foundation.
- Self-motivation and ability to navigate ambiguity and complexity.
Benefits & Compensation
- Remote-first organization with staff in 40+ countries.
- Salaries set competitively, equitably, and aligned with values and culture.
- U.S. employees receive benefits (implied standard package for U.S.-based roles).
- Non-U.S. employees hired through a local third-party Employer of Record (EOR).
- Work authorization required in the applicant’s location.
- Accommodations available for applicants with disabilities via [email protected] or +1 (415) 839-6885.
- Compensation: US$132,439 to US$192,799 for U.S.-based applicants; adjusted for country of hire for non-U.S. applicants.
- Multiple individualized factors including cost of living determine offered pay; salary history not considered.
Work Mode
- Remote-first; synchronous work required between 14:00 and 22:00 UTC.
- Eligible locations include: Arizona, California, Colorado, Connecticut, District of Columbia, Florida, Georgia, Idaho, Illinois, Indiana, Iowa, Maryland, Massachusetts, Michigan, Minnesota, Missouri, New Jersey, New Mexico, New York, North Carolina, Ohio, Oklahoma, Oregon, Pennsylvania, Puerto Rico, Rhode Island, Tennessee, Texas, Utah, Vermont, Virginia, Washington, West Virginia, Wisconsin, Wyoming, Brazil, Canada, Colombia, France, Germany, Ghana, India, Indonesia, Italy, Kenya, Mexico, Morocco, Netherlands, Poland, Singapore, South Africa, Spain, Switzerland, United Kingdom.
The Wikimedia Foundation is an equal opportunity employer and does not discriminate based on race, religion, color, national origin, sex, pregnancy, parental status, sexual orientation, gender identity, age, veteran status, disability, genetic information, or other legally protected characteristics.
