New
Define success metrics for agentic recruiting & HR systems.
Design measurement and experimentation for lifecycle.
Collaborate with PMs/Engineers to instrument and monitor launches.
Translate signals into decisions on what to scale and intervene.
Build repeatable decision loops from pre-launch to shipped changes. 10+ years in a quantitative role (Data/Decision Science).
Strong grounding in experimentation, causal inference, statistics.
SQL and Python fluency; handle messy behavioral data.
Proven ability to translate results into shipped decisions.
Business judgment and bias toward action; scope ambiguous problems.
Excellent communicator; partner to PMs/Engineers; culture-minded.
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 6 days ago
Developing media mix models
Running and interpreting complex experiments
Posted 11 days ago
Lead and grow a high-performing Data Science team
Develop quarterly roadmaps with cross-functional partners
Posted 11 days ago
Drive adoption of business products
Establish metrics and run experiments
Posted 13 days ago
Lead and develop ML models for key business metrics
Build segmentation and propensity models for product/marketing
Posted 13 days ago
Drive growth and increase marketing impact
Ensure accurate marketing measurement data
Posted 15 days ago
Define success metrics for marketing systems
Design measurement frameworks for always-on marketing systems
Posted 21 days ago
Drive growth through analytics and modeling
Integrate ML models for product enhancement
Posted 22 days ago
Lead end-to-end design, build, and scale ML solutions
Provide technical leadership across ML projects
Posted 26 days ago
Architect and lead Marketing Data Science roadmap
Set technical bar for modeling quality and scalability
Posted 383 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.