Staff Analytics Engineer

Job Summary


Responsibilities

• Understand working of equipment under field usage conditions
• Evaluate available data sources, clean-up and analysis on large data sets
• Develop analytics-based algorithms for predicting component health or failures
• Manage projects to completion and share technical knowledge with group
• Generate alternative solutions to problems to drive product and process innovation
• Communicate technical accomplishments through internal external publications

Qualifications/Requirements

• Bachelors in Engineering (Mechanical/ Electrical/ Electronics/Computer science)
• Expertise in data modeling tools / programming languages like R, Python
• Knowledge of analytical problem-solving techniques
• Trained on machine learning statistical modeling tools
• Minimum 6+ years of professional experience in analytics, data science, and predictive modeling, with at least 3+ years of hands-on experience developing and deploying AI/ML solutions
• Good understanding of Project Management Disciplines Six Sigma Methodology
• Strong oral / written communication and interpersonal skills

Desired Characteristics

• Understanding of Rail, Transportation remote monitoring system
• Experience applying AI/ML techniques to solve real-world engineering, reliability, or operational challenges
• Exposure to Large Language Models (LLMs), Generative AI technologies, prompt engineering, or AI agents will be an added advantage
• Ability to work with remote cross- functional and cross-cultural teams
• Knowledge of and exposure to manufacturing and engineering processes
• Demonstrated commitment for innovation

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.