- New York
- Jan 21
- USD 160000-180000
📋 Description Partner with MSMs across the cMMM journey from kickoff to model release and action planning Translate cMMM results into planning and budgeting im
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Search this company📋 Description Partner with MSMs across the cMMM journey from kickoff to model release and action planning Translate cMMM results into planning and budgeting im
📋 Description Partner with MSMs across the cMMM journey to translate results into planning improvements. Ensure model integrity and update cadence for v1 input
📋 Description Partner with MSMs across the cMMM journey to translate results into planning and budgeting Safeguard model integrity with QA of v1 inputs/outputs
📋 Description Lead design, development, and deployment of ML solutions for high-impact problems. Build and maintain ML systems powering Haus products (cMMM). R
📋 Description Drive end-to-end ML initiatives from concept to product Build and maintain ML systems powering Haus (cMMM) Collaborate with product, science, and
📋 Description Lead customer engagements end-to-end from data onboarding to model interpretation Translate MMM results into planning improvements for clients Co
📋 Description Drive end-to-end ML initiatives from concept to production for high-impact problems. Build and maintain ML systems powering Haus products (cMMM).
📋 Description Architect and build backend services powering Haus's data platform Ingest from third-party APIs at scale with normalization Own lakehouse/warehou
📋 Description Architect and build the backend services that power Haus's data platform: high-throughput ingestion Solve hard distributed-systems problems in a
📋 Description Own enterprise demand strategy and ABM programs Define ICP, segmentation, and demand-gen messaging Budget ownership across paid, content, email,
📋 Description Join the team handling data access, ingestion, and validation Build and extend long-running workflows, APIs, data pipelines, UIs, and ingestion s
📋 Description Join the Data Onboarding team within Haus Data Platform Ingest, validate, and access customer data Develop long-running workflows and data pipeli