Senior Data Scientist, Safety & Security

Wikimedia Foundation

. Guide Wikipedia’s anti-abuse and security strategy as a member of the Product Analytics team .

Posted 9/17/2026full-timeRemote • Arizona • United StatesSenior💰 $109,563 - $173,129 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data analysis, experimental design, and machine learning methods, with proficiency in R, Python, and SQL for large-scale data management. Capable of delivering actionable insights and recommendations to cross-functional teams while adhering to ethical data management practices.

Highest-signal resume keywords

Data AnalysisExperimental DesignMachine Learning MethodsSQL ProficiencyAI Coding Assistants

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

R ProgrammingPython ProgrammingSQLStatistical AnalysisBayesian MethodsFrequentist MethodsData Quality AssuranceA/B TestingHeuristic DevelopmentQuantitative Research

Soft Skills

CuriosityCritical ThinkingEmpathyCommunicationSelf-Motivation

Tools & Technologies

Apache IcebergHiveDruidPrestoSparkDBTAirflowSupersetGrowthbookVersion Control

Industry Keywords

Anti-AbuseInformation SecurityPrivacyFraud PreventionEthical Data ManagementWikimediaOpen-Source Projects

Tech Stack

Tools & technologies

AirflowApachePythonSparkSQL

About the role

Key responsibilities & impact

Guide Wikipedia’s anti-abuse and security strategy as a member of the Product Analytics team
Collaborate with product managers, engineers, designers, research scientists, security engineers, and other colleagues
Inform product development strategy and evaluate the impact of features and interventions
Set measurement strategy for detecting bots and inauthentic account activity
Analyze and develop heuristics and approaches to detect potentially abusive activity
Help develop and evaluate AI models to identify malicious user-authored code
Make recommendations on product direction and data strategy
Deliver quantitative data and insights to inform strategy and product decisions
Communicate results and data-backed recommendations to cross-functional stakeholders
Build and execute measurement strategies and evaluate experiments using Bayesian and Frequentist approaches
Perform quantitative research
Develop queries and code for large-scale internal and external data repositories using Apache Iceberg, Hive, Druid, Presto, and Spark
Build automated self-service dashboards using DBT, Airflow, and Superset
Help teams instrument features, perform data quality assurance, and use A/B testing tools
Prioritize workload and select appropriate analytical methods

Requirements

What you’ll need

Experience with experimental design and statistics or machine learning methods
Experience using AI coding assistants for data analysis and technical tasks
Fluency in R or Python
Fluency with version control and command-line-based tools
Fluency in SQL and working with large-scale data
Experience collaborating with product development teams in a fast-paced environment
Availability for critical meetings and synchronous collaboration between 13:00 and 19:00 UTC
Ability to explain data and insights clearly to non-specialist audiences
Curiosity and critical thinking skills
Empathy toward and commitment to Wikimedia volunteer communities
Discretion and competence in handling sensitive or confidential data
Commitment to Wikimedia’s mission, values, and guiding principles
Self-motivated ability to navigate ambiguity and complexity
Prior trust and safety, information security and privacy, fraud, or anti-abuse experience is desirable
Exposure to ethical data management and privacy practices is desirable
Wikimedia or open-source project experience is desirable
Experience with Superset, Growthbook, or other open-source testing, visualization, or reporting tools is desirable
For non-US employees: current work authorization in the location

Benefits

Comp & perks

Remote-first organization
Country-adjusted pay for applicants outside the United States
Equal opportunity and inclusive workplace
Accommodation assistance for applicants with disabilities