
Chief Analytics Strategist
5 days ago
We are seeking a highly skilled professional to join our team in the role of Senior Data Scientist.
The ideal candidate will have hands-on experience with model development and a deep understanding of customer data ingestion, real-time data pipelines, and AI-driven marketing strategies.
This role blends analytical rigor with innovative model building and maintenance, ensuring both operational excellence and strategic customer growth.
Key Responsibilities
- 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 systems, 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 to operationalize models into platforms and workflows.
- Establish monitoring, retraining, and governance processes to ensure sustained model accuracy and business value.
Required Qualifications
- Master's 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).
- Experience with QA and drift monitoring frameworks for ML models.
- Familiarity with big data platforms and cloud ecosystems.
- Strong communication skills to convey complex insights to both technical and business stakeholders.
- Experience leading junior data scientists.
- Detail-oriented with a structured approach to QA, documentation, reporting, and dashboarding.
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