Senior Data Scientist, Safety & Security

This is a fully remote position, open to applicants in Arizona, +30 more states.

📋 Description

• As a member of the Product Analytics team, shape Wikipedia’s strategy for anti-abuse and security.

• Work in collaboration with product managers, engineers, designers, research scientists, security engineers, and other team members.

• Contribute to the development strategy of products and assess the effects of features and interventions.

• Establish measurement strategies to identify bots and suspicious account activities.

• Analyze and devise heuristics and methodologies to uncover potentially abusive behaviors.

• Assist in the development and evaluation of AI models aimed at detecting harmful user-generated code.

• Provide recommendations regarding product direction and data strategies.

• Present quantitative data and insights to guide strategic and product-related decisions.

• Communicate findings and data-driven recommendations effectively to cross-functional stakeholders.

• Create and implement measurement strategies and assess experiments utilizing Bayesian and Frequentist methods.

• Conduct quantitative research.

• Develop queries and code for extensive internal and external data repositories using technologies like Apache Iceberg, Hive, Druid, Presto, and Spark.

• Construct automated self-service dashboards employing DBT, Airflow, and Superset.

• Assist teams in feature instrumentation, execute data quality assurance, and utilize A/B testing tools.

• Manage workload effectively and choose suitable analytical methods.

⛳️ Requirements

• Proficient in experimental design and statistics or machine learning techniques.

• Familiarity with AI coding assistants for data analysis and technical tasks.

• Proficient in R or Python.

• Experienced with version control and command-line tools.

• Proficient in SQL and managing large-scale data.

• Proven experience working with product development teams in a dynamic environment.

• Availability for crucial meetings and synchronous collaboration between 13:00 and 19:00 UTC.

• Ability to articulate data and insights clearly to audiences without technical backgrounds.

• Possess curiosity and critical thinking capabilities.

• Show empathy and commitment towards Wikimedia's volunteer communities.

• Exercise discretion and competence when dealing with sensitive or confidential information.

• Commitment to Wikimedia’s mission, values, and guiding principles.

• Self-driven with the capability to navigate through ambiguity and complexity.

• Previous experience in trust and safety, information security and privacy, fraud, or anti-abuse is preferred.

• Familiarity with ethical data management and privacy practices is a plus.

• Experience with Wikimedia or open-source projects is advantageous.

• Experience utilizing Superset, Growthbook, or other open-source testing, visualization, or reporting tools is beneficial.

• For non-US candidates: current work authorization in their respective location.

🏝️ Benefits

• Remote-first organization.

• Country-adjusted compensation for applicants outside the United States.

• Equal opportunity and inclusive work environment.

• Accommodation support for applicants with disabilities.