Note: The job is a remote job and is open to candidates in USA. The Wikimedia Foundation is a nonprofit organization that operates Wikipedia and other free knowledge projects. It is seeking a Senior Data Scientist to guide anti-abuse and security strategy through creative data analysis, measurement strategy, and data-driven product decisions. The role partners with product managers, engineers, research scientists, and security teams to evaluate interventions and develop AI and machine learning approaches for online safety.
Responsibilities
- Serving as a strategic partner for product managers, engineers, designers, and other colleagues in product development teams
- Proactively making recommendations on product direction and data strategy, surfacing insights and interpreting results
- 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
- Clearly communicating results and data-backed recommendations to stakeholders across different functions, ensuring understanding and guiding decision-making
- Building and executing measurement strategy, evaluating experiments using Bayesian & Frequentist approaches, and performing quantitative research to inform product decisions
- Developing queries & code to work with large-scale internal and external data repositories, using cutting-edge AI assistants, and tools such as Apache Iceberg, Hive, Druid, Presto, and Spark
- Building automated, self-service dashboards for product teams that track success and health metrics using tools such as DBT, Airflow, and Superset
- Helping product team members instrument features, perform data quality assurance, and use tools for running A/B tests
- Demonstrating good judgment in prioritizing workload and selecting analytical methods and techniques
Skills
- Experience with experimental design and statistics or machine learning methods
- Experience using AI coding assistants for data analysis and other technical tasks
- Fluency in R or Python, and common version control and command-line-based tools, for data analysis, statistical modeling, simulation, visualization, & reporting
- Fluency in SQL and working with large scale data (we use tools like Hive, Presto, Druid, and Spark)
- Experience collaborating with product development teams in a fast-paced environment to test, analyze, and evaluate user-facing features for an online platform
- Ability to explain data and insights clearly to non-specialist audiences and gain their understanding and confidence
- Curiosity and critical thinking skills; a lifelong learner who sees situations through multiple lenses
- Empathy towards and commitment to work with the Wikimedia volunteer communities. Discretion and competence in handling sensitive or confidential data
- Commitment to the mission of the organization and our values and guiding principles
- Self-motivated with an ability to navigate through ambiguity and complexity. The Wikimedia ecosystem is complex, resources are limited, and our guiding principles are ambitious. We want you to work to find solutions embracing these factors
- The role requires availability for critical meetings and synchronous collaboration between 13:00 and 19:00 UTC
- Our non-US employees are hired through a local third party Employer of Record (EOR) and must have current work authorization in their location
- Prior experience working in areas related to trust & safety, information security and privacy, or fraud and anti-abuse
- 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 is a remote-first organization
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