Senior Data Scientist - Safety & Security
New
W
Wikimedia FoundationOnline safety and security
Listing locations: USA, Europe. Please note that we are currently able to hire in the following: US States: Arizona, California, Colorado, Connecticut, District of Columbia*, Florida, Georgia, Idaho, Illinois, Indiana, Iowa, Maryland, Massachusetts, Michigan, Minnesota, Missouri, New Jersey, New Mexico, New York, North Carolina, Ohio, Oklahoma, Oregon, Pennsylvania, Puerto Rico*, Rhode Island, Tennessee, Texas, Utah, Vermont, Virginia, Washington, West Virginia, Wisconsin and Wyoming (*US Territory or Federal District) Countries: Brazil, Canada, Colombia, Germany, Ghana, India, Indonesia, Italy, Kenya*, Mexico, Morocco, Netherlands, Poland, Singapore*, South Africa, Spain, Switzerland and the United Kingdom., Availability for critical meetings and synchronous collaboration between 13:00 and 19:00 UTC.Full-TimeSenior
Salary109,563 - 173,129 USD per year
Apply NowOpens the employer's application page
Job Details
- Required Skills
- PythonSQLMachine LearningSparkR
Requirements
- Have experience with experimental design and statistics or machine learning methods.
- Have experience using AI coding assistants for data analysis and other technical tasks.
- Be fluent in R or Python and common version-control and command-line-based tools.
- Use R or Python for data analysis, statistical modeling, simulation, visualization, and reporting.
- Be fluent in SQL and experienced working with large-scale data.
- Have experience collaborating with product development teams in a fast-paced environment to test, analyze, and evaluate user-facing features for an online platform.
- Be able to explain data and insights clearly to non-specialist audiences.
- Use curiosity and critical thinking to view situations through multiple lenses.
- Exercise discretion and competence when handling sensitive or confidential data.
- Be available for critical meetings and synchronous collaboration between 13:00 and 19:00 UTC.
Responsibilities
- Serve as a strategic partner to product managers, engineers, designers, and other product development colleagues.
- Recommend product direction and data strategy, surface insights, and interpret results.
- Deliver quantitative data and insights to inform strategy, product decisions, and assessments of product development work.
- Build and execute measurement strategies, evaluate experiments using Bayesian and Frequentist approaches, and conduct quantitative research.
- Develop queries and code for large-scale internal and external data repositories using tools such as Apache Iceberg, Hive, Druid, Presto, and Spark.
- Build automated, self-service dashboards for product teams using tools such as DBT, Airflow, and Superset.
- Help product team members instrument features, perform data quality assurance, and use tools for running A/B tests.
- Collaborate with research scientists and security engineers to develop and evaluate AI models for identifying malicious user-authored code.
View Full Description & ApplyYou'll be redirected to the employer's site
