Senior Data Scientist- GCP Focus (Marketing Analytics)
Tasks
- Analyze large scale datasets for enterprise impact
- Architect cloud data platform components for scalable analytics
- Build attribution models and econometric or causal models
- Communicate insights using dashboards and visualizations
- Create KPI frameworks to measure marketing effectiveness and ROI
- Design and optimize marketing mix models
- Develop maintainable Python code for analytics pipelines
- Engineer data infrastructure, libraries, and APIs
- Engineer data pipelines and data products for stakeholders
- Gather stakeholder requirements and perform technical due diligence
- Manage project timelines, dependencies, and risks
- Monitor models and support incident response
- Perform root cause analysis for production issues
- Select and implement machine learning models for forecasting and optimization
Perks/Benefits
- Career advancement
- Hybrid work options
- Professional development programs
- Remote work flexibility
- Training access
Skills/Tech-stack
Attribution Modeling | BigQuery | Causal Inference | Cloud Functions | Cloud Run | Cloud Storage | Cloud platform | Econometrics | Google Cloud | Google Cloud Platform | Looker | Machine Learning | Marketing Mix | Marketing Mix Modeling | Mix Modeling | Power BI | Pub/Sub | Python | R | SQL | Series analysis | Tableau | Time Series | Time Series Analysis | Vertex AI
Education
Roles
Regions
Countries
States
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