Manager, Data Science (Product Analytics)

About the role

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 will guide product development teams using quantitative data and insights to understand audiences, inform strategy, and assess the impact of new features.

Responsibilities

• Inform strategy, guide product decisions, and assess the impact of product development work through timely delivery of accurate quantitative data and insights.
• Proactively make recommendations on product direction and data strategy, surfacing insights and interpreting results.
• People management for a team of roughly seven data scientists and fostering a culture of trust, excellence, and empowerment.
• Mentor team members on critical thinking, data-informed storytelling, technical skillset, and stakeholder partnership.
• Continuous development and improvement of experimentation and measurement best practices, product health metrics, visualizations, and reports for easier interpretation and increased accessibility.
• Partner with the Experiment Platform & Data Engineering teams to build and maintain data products that make data and insights accessible.
• Collaborate 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.

Requirements

• 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 (Hadoop, Hive, Presto, Spark).

Qualifications

• Ability to identify where data can have the most impact and clearly communicate findings and recommendations to partner teams.
• Discretion and competence in handling sensitive or confidential data.
• Curiosity and critical thinking skills; a lifelong learner who sees situations through multiple lenses.
• A coach and mentor with high emotional intelligence: evidenced by humility, tact, compassion, high levels of integrity, and good listening skills.
• A facilitator with strong collaboration skills and an empowerment approach to open and transparent management.
• Empathy towards and commitment to work with the Wikimedia volunteer communities.
• Commitment to the mission of the organization and our values and guiding principles.
• Self-motivated with an ability to navigate through ambiguity and complexity.

Skills

• 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.

Benefits

The Wikimedia Foundation offers a competitive salary range for this position, with the range varying based on location and individual factors. The Foundation is committed to providing a supportive and inclusive work environment, and encourages applications from candidates with diverse backgrounds.

Pay

The anticipated annual pay range for applicants based within the United States is US$132,439 to US$192,799. For applicants located outside of the US, the pay range will be adjusted to the country of hire. The compensation for a successful applicant will be based on their skills, experience, and location.

Schedule

The role requires flexibility to work in UTC+1 to UTC-8 time zones, availability for critical meetings and synchronous work between 14:00 and 22:00 UTC, and the ability to travel for offsites and conferences up to 4 times per year.

Equal Opportunity Employer

The Wikimedia Foundation is an equal opportunity employer and does not discriminate against any person based upon 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. We encourage people with a diverse range of backgrounds to apply.