KloudOpp Limited is a startup educational technology company, building talents and providing opportunities for them.
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. They will translate complex datasets into predictive, prescriptive, and actionable insights that drive strategic business, product, and operational decisions.
- Candidates must have verifiable experience in FinTech, Banking, Insurance, HealthTech, EdTech, or other core technology domains, meet US senior-level technical standards, and hold advanced data science, ML/AI, or cloud certifications.
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 ML/AI, statistical modeling, and production deployment.
Governance & Compliance;
- Ensure models and data pipelines comply with PCI-DSS, HIPAA, GDPR, ISO 27001, SOC2, and other regulatory standards.
- Implement model governance, monitoring, explainability, and risk assessment.
- Conduct data integrity, quality checks, and anomaly detection for critical systems.
Metrics & Insights:
- Define technical KPIs, model performance metrics, and monitoring dashboards.
- Analyze system performance and model outcomes to provide actionable insights to leadership.
- Conduct root-cause analysis for model errors, bias, or failures and recommend corrective action.
Required Experience
- 10+ years in technical data science, machine learning, or AI roles.
- Verifiable experience in FinTech, Banking, Insurance, HealthTech, EdTech, or core technology platforms.
- Hands-on technical expertise with:
- Programming & ML Frameworks: Python, R, Scala, PyTorch, TensorFlow, Scikit-Learn
- Data Engineering & Pipelines: Spark, Hadoop, Airflow, Kafka, Snowflake, BigQuery, Redshift
- Cloud Platforms: AWS, Azure, GCP
- Data Analytics & Visualization: SQL, Tableau, PowerBI, Looker
- Advanced Techniques: NLP, Computer Vision, Recommendation Systems, Predictive Modeling
- Experience designing enterprise-grade ML/AI systems for production.
- Experience in cross-functional, globally distributed teams.
- Strong stakeholder management skills with ability to influence executives, engineering, and product teams.
- Must pass security and background checks.
- Must pass a rigorous technical assessment.
Preferred Certifications:
- TensorFlow Developer Certificate
- AWS Certified Machine Learning – Specialty
- Google Professional Machine Learning Engineer
- Databricks Certified Data Scientist
- Certified Analytics Professional (CAP)
- Security or governance certifications (e.g., CISSP, CISM) are advantageous.
Why Join KloudOpp Limited
- Salary: N1,000,000 - N1,300,000 monthly.
- Fully Remote Work — collaborate with global engineering and product teams
- Lead high-impact, enterprise-scale technical initiatives across regulated industries
- Opportunity to mentor, teach, and shape technical product management practices
- Work directly with engineering, security, and operations teams on live systems
- Career path to Distinguished Technical Product Manager, Principal Architect, or Head of Technical Product roles.
Method of Application
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