Data IKU Developer

Data Pipeline Development: Design, develop, and optimize ETL workflows within Dataiku to ingest, clean, and transform data from various sources for analysis and model building.

Predictive Modelling: Build, validate, and deploy machine learning models using Dataiku DSS. Leverage machine learning algorithms to perform predictive and prescriptive analytics that drive business insights.

Collaboration with Cross functional Teams: Work closely with Business Analysts, Product Managers, and Stakeholders to understand business requirements and translate them into scalable data solutions within Dataiku.

Automation & Optimization: Develop automated workflows, alerts, and data quality checks in Dataiku to maintain high data integrity and operational efficiency.

Data Visualization & Reporting: Create dashboards and reports within Dataiku or through integration with visualization tools (e.g., Tableau, Power BI) to enable data driven decision making.

Testing & Model Validation: Perform A/B testing, cross validation, and other validation methods to ensure model accuracy and robustness. Document models and ensure they meet reproducibility standards.

Model Deployment & Monitoring: Deploy models into production and set up monitoring frameworks to track model performance over time, ensuring that they meet business and technical standards.

User Training and Enablement: Provide training and support to end users and data analysts on Dataiku functionalities, enabling self service analytics across the organization.

Dataiku DSS Maintenance: Maintain and troubleshoot the Dataiku DSS platform to ensure high availability and performance.

REST API: Implement REST APIs for data integration and automation.