Senior Data Scientist - Subsea ML & Predictive (Hybrid)

Lennor Group; Taguig; Hybrid; PHP 600,000 - 1,200,000; Full time

Job summary

Lennor Group's client in Taguig, Philippines is seeking a skilled ML engineer to research, design, and deploy machine learning models and statistical algorithms to analyze and improve the reliability of subsea fiber optic infrastructure.

You will lead R&D initiatives involving predictive analytics, anomaly detection, subsea route optimization, and risk modeling, collaborating with cross-functional teams to deliver robust solutions in a hybrid work environment (3 days WFH, 2 days onsite).

Qualifications

• Experience building ML models for real-world data.
• Strong analytical and problem-solving skills.
• Ability to collaborate with cross-functional teams.

Responsibilities

• Research, design, and deploy ML models for subsea fiber optic infrastructure.
• Lead R&D initiatives involving predictive analytics, anomaly detection, and route optimization.

Skills

Machine Learning

Python

Data Analysis

Tools

TensorFlow

PyTorch

Job description

Lennor Group's client in Taguig, Philippines is seeking a skilled ML engineer to research, design, and deploy machine learning models and statistical algorithms to analyze and improve the reliability of subsea fiber optic infrastructure.

You will lead R&D initiatives involving predictive analytics, anomaly detection, subsea route optimization, and risk modeling, collaborating with cross-functional teams to deliver robust solutions in a hybrid work environment (3 days WFH, 2 days onsite).