Data Scientist

Build, scale, and deliver advanced AI solutions that directly empower New Product Introduction (NPI) workflows.
Design and configure stable software infrastructures tailored explicitly to handle complex ai frameworks.
Collaborate cross-functionally to integrate intelligent machine learning assets into core backend business processes.
Optimize backend data pipelines, relational storage systems, and server endpoints to manage high-volume data streams.
Formulate robust data analysis loops to systematically discover pattern anomalies and process bottlenecks.
Coordinate with product management and engineering squads to translate operational needs into technical designs.
Review production model settings regularly to maximize pipeline uptime, data ingestion speed, and predictive accuracy.

Degree in Engineering, Computer Science, Data Engineering, Information Systems, or an equivalent technical stream.
3–5 years of professional data science experience, highlighting clear growth inside AI product development tracks.
Advanced, direct hands-on expertise operating with core ai infrastructure setup, backend tools, and modern frameworks.
Deep understanding of enterprise business processes, manufacturing cycles, or product launch deployment architectures.
Highly collaborative mindset equipped with advanced analytical troubleshooting and clear technical communication skills.