Description :

- Develop and implement predictive analytics models to optimize asset performance and reduce downtime

- Design and deploy machine learning algorithms for :

a. Failure prediction

b. Anomaly detection

c. Maintenance optimization

- Analyze large datasets to identify trends, patterns, and actionable insights

- Collaborate with cross-functional teams to solve business problems using data-driven approaches

- Build and maintain data systems and databases for predictive analytics applications

- Work closely with stakeholders to deliver scalable analytics solutions aligned with business goals

- Stay updated with emerging technologies in predictive analytics and machine learning

- Document models, methodologies, and outcomes

Required Qualifications :

- Bachelors degree in Engineering /Data Science / related field

- 7+ years of experience in predictive analytics / machine learning.

- Strong programming skills in Python / R / SQL

- Strong data analysis and problem-solving skills

- Excellent communication and stakeholder management skills

- Ability to work in fast-paced environments

Preferred Skills (Good to Have) :

- Experience with :

a. GE SmartSignal

b. Baker Hughes C3.ai