
Chief Analytics Officer
2 weeks ago
Job Title: Senior Data Scientist
Key Responsibilities:- Model Development
- Design, build and deploy machine learning models for segmentation predictive analytics, prospect identification targeting, personalization Churn prediction & retention campaign performance and other business use cases.
- Contribute to building models for various use cases such as Revenue Management System Customer 360 etc.
- Apply statistical analysis and data visualization techniques to generate insights and communicate effectively to business stakeholders.
- Translate model insights into actionable marketing strategies that enhance ROI and customer experience.
- Collaborate with cross-functional teams including Martech digital and commercial teams to operationalize models into platforms and workflows.
- Establish monitoring retraining and governance processes to ensure sustained model accuracy and business value.
- Deep QA Model Validation
- Validate existing models applying end-to-end QA checks before sign-off.
- Assess data ingestion schema integrity feature engineering and label quality for business alignment.
- Evaluate model predictions performance metrics drift monitoring downstream outputs and GUI integration.
- Document all findings anomalies and improvement opportunities.
- Support development of dashboards and reports to track validation progress outcomes and risks.
- Ensure every module is accurate reliable and business-aligned prior to deployment.
Why Work with Us?
- Work on modern data architecture at scale using cutting-edge technologies.
- Collaborate with a dynamic and talented team of data professionals.
- Grow your leadership skills through hands-on project ownership and mentorship.
- Competitive compensation flexible work options and continuous learning culture.
About Us:
We help companies innovate technology solutions for everyday business challenges. Our passion is to support clients become intelligent information-driven organizations where fact-based decision-making is embedded into daily operations leading to better processes and outcomes.
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