Senior Predictive Analytics, Asset Strategy Consultant

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🔥 17 minutes ago

🌐 Kazakhstan, Azerbaijan – Remote

🇰🇿 Kazakhstan – Remote 🇦🇿 Azerbaijan – Remote

⏰ Full Time

🟠 Senior

🧐 Strategy

👻 Ghost score 10%

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GE Vernova

WebsiteLinkedInAll Job Openings

10,000+ employees

💼 Consulting

📦 Logistics

🏭 Manufacturing

Consulting • Logistics • Manufacturing

GE Vernova is a leader in the energy sector with over 130 years of experience, dedicated to electrifying the world while decarbonizing it. The company offers a broad portfolio of energy solutions including gas, hydro, nuclear, and wind power technologies, aimed at providing reliable, affordable, and sustainable energy. With a strong focus on innovation, GE Vernova plays a significant role in reducing the carbon footprint of global power systems and supports the transition to net-zero emissions by 2030.

📋 Description

• Deliver SmartSignal implementations from asset scoping to go-live • Report results against client targets, including lower unplanned downtime and higher asset availability • Build and tune predictive models for rotating and process equipment • Define health indicators, alert thresholds and diagnostic logic • Design data integrations between plant historians, sensors and SmartSignal • Resolve false alarm and data quality issues • Translate FMEA and RCA results into monitoring scope • Help clients integrate alerts into maintenance workflows • Run client workshops and executive reviews • Explain findings in clear, non-technical language • Contribute to proposals and proof-of-concept projects • Serve as the main technical contact for industrial clients • Collaborate with reliability engineers, data specialists and functional consultants • Report to the Services Consulting Director

🎯 Requirements

• Fluent Russian and English (Russian is essential for this role) • 10+ years in asset performance management, reliability engineering or industrial predictive analytics • Hands-on experience configuring and deploying SmartSignal or a similar condition monitoring platform • Working knowledge of FMEA, Reliability Centered Maintenance (RCM), RCA, historian data and tag mapping • Client-facing experience, including executive presentations and workshops • Delivery across multiple client sites in at least two of these sectors: oil and gas, petrochemicals, mining, power or nuclear (preferred) • Experience mentoring colleagues informally (preferred) • Formal education and subsequent Bachelor or Master's degree in Engineering, Data Science or a related field (nice to have)

🏖️ Benefits

• Competitive benefits depending on employment status and national requirements • Continued on-the-job learning and development • Remote work arrangement • Travel to client project sites as projects require

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