
Chief Data Modeling Specialist
2 days ago
Job Description:
This role requires a highly skilled professional with hands-on experience in model development, deep understanding of customer data ingestion, real-time data pipelines, and AI-driven marketing strategies.
The key responsibilities include designing, building, and deploying machine learning models for segmentation, predictive analytics, prospect identification, targeting, personalization, churn prediction & retention, campaign performance, and other business use cases.
Key Responsibilities:
- Model Development:
- Design, build, and deploy machine learning models for various business use cases.
- Apply statistical analysis and data visualization techniques to generate insights and communicate effectively to stakeholders.
- Translate model insights into actionable marketing strategies that enhance ROI and customer experience.
- Collaborate with cross-functional teams to operationalize models into platforms and workflows.
- Deep QA Model Validation:
- Validate existing models applying end-to-end QA checks before sign-off.
- Evaluate model predictions, performance metrics, drift monitoring, downstream outputs, and GUI integration.
- Document all findings, anomalies, and improvement opportunities.
Required Skills and Qualifications:
- Masters degree in data science, statistics, computer science, or related field.
- 4-6 years of experience in data science, model validation, and applied machine learning.
- Proven expertise in Python, SQL, and ML frameworks (scikit-learn, TensorFlow, PyTorch).
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