Job Posting Organization: The Wikimedia Foundation is a nonprofit organization that operates Wikipedia and other Wikimedia free knowledge projects. Established with the mission to enable every individual to freely share in the sum of all knowledge, the Foundation believes in the potential of every person to contribute to shared knowledge and the importance of free access to that knowledge. The organization is supported by donations from millions of individuals globally, averaging around $15 per donation, along with institutional grants. As a 501(c)(3) tax-exempt organization based in the United States, the Wikimedia Foundation has its headquarters in San Francisco, California, and operates with a diverse workforce across over 40 countries. The Foundation is committed to maintaining an inclusive and equitable workplace, encouraging applicants from diverse backgrounds to apply, and does not discriminate based on various legally protected characteristics.
Job Overview: The Data Science Manager will lead the Product Analytics team, reporting to the director" style="border-bottom: 1px dotted #007bff !important;">Senior Director of Research and Decision Science. This role involves managing a team of data scientists who provide insights that guide strategies and tactics aligned with the Foundation's vision. The manager will ensure that the team delivers timely, accurate quantitative data and insights to inform product decisions and assess the impact of new features. The position requires collaboration with product managers, designers, engineers, and other stakeholders to produce actionable data and insights. The manager will also be responsible for creating shared data processes and procedures, supporting the design of data products, and ensuring that data is accessible to stakeholders. Candidates must be located within UTC+1 to UTC-8 time zones and be available for critical meetings and synchronous work during specified hours, as well as be willing to travel for conferences and offsite meetings.
Duties and Responsibilities: The Data Science Manager will be responsible for the timely delivery of accurate quantitative data and insights that inform strategy and guide product decisions. This includes balancing the need for speed in a fast-changing environment with the rigor of data analysis. The manager will oversee a team of approximately seven data scientists, fostering a collaborative and inclusive culture. Responsibilities include mentoring team members in critical thinking, data storytelling, and technical skills, as well as partnering with Experiment Platform and Data Engineering teams to build and maintain accessible data products. The manager will collaborate with product teams to promote data-informed product development and continuously improve experimentation and measurement practices, product health metrics, visualizations, and reports for better accessibility and interpretation.
Required Qualifications: Candidates must have deep experience with experimental design and statistics, particularly as applied to internet-scale audience or user experience data. They should have experience collaborating with product development teams in fast-paced environments to test and evaluate user-facing features. Prior experience in a people management role is essential, along with a demonstrated commitment to equity, inclusion, and diversity. Familiarity with large-scale data processing and storage tools such as Hadoop, Hive, Presto, and Spark is also required.
Educational Background: While the specific educational background is not explicitly stated, candidates are typically expected to have a strong foundation in data science, statistics, or a related field, often at least a bachelor's degree, with many positions requiring advanced degrees or equivalent experience in relevant areas.
Experience: Candidates should possess significant experience in data science, particularly in managing teams and working with product development. They should have a proven track record of applying statistical methods and experimental design in real-world scenarios, ideally within the tech or internet sectors. Experience in mentoring and developing team members is also crucial.
Languages: While the job description does not specify mandatory languages, proficiency in English is likely essential given the international nature of the organization and the need for clear communication with diverse teams. Additional languages may be beneficial, especially those relevant to the Wikimedia communities.
Additional Notes: The Wikimedia Foundation is a remote-first organization, allowing staff to work from various locations. The anticipated annual pay range for applicants in the United States is between $132,439 and $192,799, with compensation adjusted based on location for international hires. The organization values competitive and equitable salaries, and applicants are encouraged to discuss specific pay ranges during the interview process. The Foundation is committed to providing reasonable accommodations for applicants with disabilities throughout the application process.
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