Senior Data Scientist, Safety & Security

Written by the T&S Network from Wikimedia Foundation's posting.

Senior data science role on the Product Analytics team supporting Wikipedia's anti-abuse and security work. It informs product direction for safety features, such as detecting bots, inauthentic accounts, and malicious user-authored code, working with the Product Safety and Integrity team.

What you'd do

• Set measurement strategy for efforts to detect bots and sockpuppetry on Wikipedia.
• Analyze data to inform new heuristics for detecting potentially abusive platform activity.
• Work with research scientists and security engineers to evaluate AI models that find malicious code.
• Recommend product direction and data strategy to product managers, engineers, and designers.
• Design and evaluate experiments using Bayesian and frequentist methods.
• Build self-service dashboards tracking product success and health metrics.
• Help product teams instrument features, check data quality, and run A/B tests.

What it asks for

• Experience with experimental design, statistics, or machine learning methods.
• Has worked with AI code helpers for analytical and technical tasks.
• Fluency in R or Python and command-line tools.
• Fluency in SQL and working with large-scale data using Hive, Presto, Druid, or Spark.
• Experience collaborating with product teams to test and evaluate user-facing features.
• Prior work in trust and safety, information security, privacy, or fraud and anti-abuse (preferred).
• Hands-on familiarity with open-source testing, visualization, or reporting tools like Superset or Growthbook (preferred).

Worth knowing

• Requires availability for synchronous meetings between 13:00 and 19:00 UTC.

Our best summary of the posting, and it can be wrong. The employer's posting is what counts: read it in full on Wikimedia Foundationnorth_east before you apply. If we got something wrong, report this listing.