New
Partner with insights leads to design performance metric frameworks. Collaborate with data engineers to build metrics pipelines and dashboards. Explore complex datasets to identify patterns and opportunities. Scope, prioritize, and execute projects including A/B tests and experimentation. Apply statistical and causal inference methods to evaluate product changes. Create data stories through visualizations and reporting that influence decision-making. You know how to frame questions, explore data and develop insights that drive action.
New
Developing impactful sustainability solutions
Collaborative team work culture
New
Define success metrics for recruiting & HR systems
Design measurement and experimentation processes
New
Lead a data science team focused on mapping and real-time decisions.
Define data science vision and roadmap for mapping products.
New
Lead and grow data science team
Define and drive data science vision
Posted 8 days ago
Developing media mix models
Running and interpreting complex experiments
Posted 13 days ago
Lead and grow a high-performing Data Science team
Develop quarterly roadmaps with cross-functional partners
Posted 13 days ago
Drive adoption of business products
Establish metrics and run experiments
Posted 15 days ago
Lead and develop ML models for key business metrics
Build segmentation and propensity models for product/marketing
Posted 15 days ago
Drive growth and increase marketing impact
Ensure accurate marketing measurement data
Posted 17 days ago
Define success metrics for marketing systems
Design measurement frameworks for always-on marketing systems
Posted 23 days ago
Drive growth through analytics and modeling
Integrate ML models for product enhancement
Posted 24 days ago
Lead end-to-end design, build, and scale ML solutions
Provide technical leadership across ML projects
Posted 28 days ago
Architect and lead Marketing Data Science roadmap
Set technical bar for modeling quality and scalability
Posted 385 days ago
The Wikimedia Foundation is seeking a Senior DBA. Our objective is to make the sum of all human knowledge available to everyone, and we persist most of this knowledge in MariaDB.
Implementation, maintenance and troubleshooting of relational database systems in production and staging environments.