Chief Data Strategist

2 weeks ago

Salem, Tamil Nadu, India beBeeDataScience Full time ₹ 1,50,00,000 - ₹ 2,00,00,000

Unlock Business Potential with Advanced Analytics

We are seeking a highly skilled Data Scientist to join our team. 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 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.

Model Validation Expertise

  • 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.

Requirements

  • Bachelor's degree in computer science or related field.
  • 4+ 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.

About Us

Our company provides innovative technology solutions for everyday business problems. We help clients become intelligent, information-driven organizations where fact-based decision-making is embedded into daily operations leading to better processes and outcomes. Our team combines strategic consulting services with growth-enabling technologies to evaluate risk, manage data, and leverage AI and automated processes more effectively.

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