Senior Data Scientist: Safety & Trust Analytics

Wikimedia Foundation; United States; Remote; USD 110,000 - 173,000; Full time

Job summary

Wikimedia Foundation in the United States is seeking a Senior Data Scientist, Safety & Security, to guide anti-abuse and security strategies within the Product Analytics team. You will collaborate with product managers, engineers, and researchers to inform features and interventions, focusing on measuring bot detection, abuse heuristics, and AI model evaluation.

The role emphasizes building scalable data platforms, dashboards, and rigorous experimental design, while aligning with Wikimedia's

Qualifications

• 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, and reporting.
• Fluency in SQL and working with large-scale data (Hive, Presto, Druid, Spark).
• Experience collaborating with product development teams in a fast-paced environment to test, analyze, and evaluate user-facing features for an online platform.

Responsibilities

• Serve as a strategic partner for product managers, engineers, designers, and other colleagues in product development teams.
• Proactively make recommendations on product direction and data strategy, surfacing insights and interpreting results.
• Deliver accurate quantitative data and insights to inform strategy, guiding product decisions with rigor.
• Communicate results and data-backed recommendations to stakeholders across functions.
• Build and execute measurement strategy, evaluate experiments using Bayesian and Frequentist approaches, and perform quantitative research.
• Develop queries and code to work with large-scale data repositories using AI assistants and tools like Hive, Presto, Druid, Spark.
• Build automated self-service dashboards for product teams tracking success metrics with DBT, Airflow, and Superset.
• Instrument features, perform data quality assurance, and use tools for running A/B tests.
• Demonstrate good judgment in prioritizing workload and selecting analytic methods.

Skills

Experimental design

Statistics

Machine learning

AI coding assistants

R or Python

SQL

Hive/Presto/Druid/Spark

Product collaboration

Tools

Hive

Presto

Druid

Spark

DBT

Airflow

Superset

Job description

Wikimedia Foundation in the United States is seeking a Senior Data Scientist, Safety & Security, to guide anti-abuse and security strategies within the Product Analytics team. You will collaborate with product managers, engineers, and researchers to inform features and interventions, focusing on measuring bot detection, abuse heuristics, and AI model evaluation.

The role emphasizes building scalable data platforms, dashboards, and rigorous experimental design, while aligning with Wikimedia's