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Predictive Diagnostics Associate

Job in Houston, Harris County, Texas, 77246, USA
Listing for: EDP Energias de Portugal S.A.
Full Time position Listed on 2026-11-10
Job specializations:
Salary/Wage Range or Industry Benchmark: 110000 - 160000 USD Yearly USD 110000.00 160000.00 YEAR

Job Description & How to Apply Below

Business Platform:
Renewable Generation Assets

EDP Renewables is a global leader in the renewable energy sector and the fourth-largest wind energy producer. With a sound development pipeline, first-class assets, and market-leading operating capacity, EDPR has undergone exceptional development in recent years and is currently present in 28 markets.

Our company is part of EDP, a global energy group present in around 30 markets with a particular emphasis on renewable energies. With more than 45 years of experience, we have been consolidating a relevant presence on the world energy scene based on the commitment to be all-green by 2030, leading the energy transition. With more than 13,000 employees around the world, we are committed to using our energy and heart to drive a better tomorrow.

What you will do:

The Predictive Diagnostics Associate will support EDPR’s global fleet of generating assets. Your primary responsibilities are to detect, report, and document potential future failures in wind turbines, solar panels, BESS, or other electric systems and components using condition monitoring and data analytics. The primary data sources used by the analyst for that purpose are reliability data, vibration analyses, oil particles counters, lubrication condition data, and temperature and/or additional SCADA data.

What

You Will Be Doing:
  • Detect potential failures using the EDPR’s corporate condition monitoring tools to analyze operational data
  • Communicate clear inspection and repair recommendations to the site managers and technicians
  • Communicate each finding to the site personnel using the EPDR tools
  • Provide remote support to site personnel to ensure recommendations are addressed correctly and within the appropriate time
  • Report the results of the inspection feedback and relay decisions of replacing/repairing the component, material, system, etc.
  • Assess failure types, remaining useful life, and scope of work required based on inspection pictures
  • Ensure that the sites and maintenance teams have clear and actionable information
  • Create quarterly reports summarizing the detections (priority, added value, component, status, etc.)
  • Manage relationships with condition monitoring vendors
  • Identify opportunities with EDPR’s fleet for new condition monitoring implementations and prepare business cases to analyze profitability of such installations
  • Stay current with new techniques and tools in the market to predict failures

    Develop new monitoring strategies/tools by using readily available data with advanced data science techniques as required
  • Work closely with other teams within Performance Management, especially with colleagues which primarily use other monitoring technologies/platforms
  • Company policy and legal compliance - understand and apply the labor safety, environmental, and quality plans to assure their accomplishment and the continuous improvement of departmental activities
  • Additional duties as required
Direct reports:
None Travel:
Up to 20%

Employment type:

Full-Time What we are looking for:
  • Bachelor’s degree in engineering (Mechanical or a related field), Masters preferred.
  • Familiarity with planetary gearboxes, generators, solar, BESS, and/or power generation and conversion equipment preferred.
  • Familiarity with rotating equipment reliability and lubrication preferred.
  • 3+ years of relevant technical experience (less experience maybe considered in lieu of an advanced degree).
  • Familiarity with SQL preferred.
  • Experience with SAP preferred.
  • Vibration Analyst Cat II certification or experience in applied vibration analysis preferred.
  • Familiarity with Python or R software preferred. Interest in data science and/or ability/interest to develop in that area.
  • Experience with machine learning models (Regression, Decision Tree, Random…

Position Requirements

10+ Years work experience
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