Senior Principal Technical Data Scientist at KloudOpp Limited

KloudOpp Limited

Lagos, Nigeria CDI

Publiée il y a 1 mois · Expire dans 3 semaines

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Description du poste

## Title: Senior Principal Technical Data Scientist

About the Role

KloudOpp Limited is seeking a world-class Senior Principal Technical Data Scientist to lead advanced analytics, machine learning, and AI initiatives for enterprise-grade software systems.

This is not a standard data science role. The ideal candidate must be highly technical, capable of designing production-ready ML/AI pipelines, leading advanced analytics, and influencing system architecture. You will translate complex datasets into predictive, prescriptive, and actionable insights that drive strategic business, product, and operational decisions.

Required Experience & Qualifications

  • Verifiable experience in FinTech, Banking, Insurance, HealthTech, EdTech, or other core technology domains
  • Technical expertise meeting US senior-level standards
  • Advanced certifications in data science, machine learning, AI, or cloud technologies

Key Responsibilities

Advanced Analytics & Machine Learning

  • Design and implement machine learning, AI, and advanced analytics pipelines for enterprise systems
  • Translate business and technical requirements into predictive, prescriptive, and diagnostic models
  • Develop and validate statistical models, algorithms, and AI frameworks for critical business problems
  • Integrate ML/AI models into production systems, microservices, or cloud-native applications

Data Strategy & Architecture

  • Lead the design of scalable data pipelines, feature engineering frameworks, and data validation processes
  • Collaborate with engineering teams to ensure robust, secure, and high-performance ML/AI infrastructure
  • Build and maintain real-time and batch processing pipelines for structured and unstructured data

Technical Leadership

  • Serve as primary technical liaison for data science initiatives across engineering, product, and business teams
  • Lead model design reviews, code audits, and architecture validation
  • Mentor junior data scientists, analysts, and engineers in machine learning, AI, and statistical modeling

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