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This position involves working on impactful sustainability solutions in a collaborative and cross-functional team environment. The Staff Data Scientist will be responsible for scoping and prioritizing analysis and modeling projects, developing informative metrics, designing and executing rigorous analyses and data models, communicating results to non-technical stakeholders, identifying key assumptions, and creating measurement plans for initiatives and model deployments.
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Design and implement performance metric frameworks
Collaborate with data engineers
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Define success metrics for recruiting & HR systems
Design measurement and experimentation processes
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Lead a data science team focused on mapping and real-time decisions.
Define data science vision and roadmap for mapping products.
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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.