Remote
Remote
Senior
Full Time
💰$109,563 - $173,129
remotedata_sciencesenioraimachine_learningproduct_analyticssafety_and_security
Requirements
- •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 using tools like Hive, Presto, Druid, and Spark
- •Experience collaborating with product development teams in a fast-paced environment to test, analyze, and evaluate user-facing features for an online platform
What You'll Do
- •Serve as a strategic partner for product managers, engineers, designers, and other colleagues in product development teams
- •Make recommendations on product direction and data strategy, surfacing insights and interpreting results
- •Deliver accurate quantitative data and insights to inform strategy, guide product decisions, and assess impact of product development work
- •Communicate results and data-backed recommendations to stakeholders across different 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 internal and external data repositories using AI assistants and 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
- •Prioritize workload and select analytical methods and techniques with good judgment
Nice to Have
- •Prior experience working in areas related to trust & safety, information security and privacy, or fraud and anti-abuse
- •Exposure to and interest in ethical data management and privacy practices
- •Contributed to Wikimedia projects or have experience working in other open source projects
- •Experience with Superset, Growthbook, or other open-source testing, data visualization, or reporting tools
Benefits
- •Competitive and equitable salary consistent with values and culture
- •Remote-first organization with staff members based in 40+ countries
- •U.S. Benefits & Perks
About Wikimedia
Wikimedia Foundation encourages the development and distribution of free educational content with projects such as Wikipedia.
San Francisco, CA, US
500 - 1000
Media & Entertainment