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HOME Data Science & ML Senior Performance Engineer
  • WIZELINE
  • Argentina based, B
  • 16 days ago
WIZELINE VERIFIED EMPLOYER

Senior Performance Engineer.

Remote Data Science & ML
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Senior Performance Engineer: our view in 3 lines...

  • The Role:This is a senior role for someone who analyses solar PV performance data and builds analytics and predictive models for utility-scale and distributed solar assets.
  • The Person:The person will analyse solar plant data, compare performance to expected output, build performance models, identify energy losses and underperformance drivers, and help automate reporting and analytics.
  • Requirements:The role calls for 5+ years of experience, PVsyst, photovoltaic performance modeling, SCADA and time-series operational data analysis, strong Python and SQL skills, and Power BI, Tableau or similar analytics platforms.

About the role

We are:
Wizeline, a global AI-native technology solutions provider, develops cutting-edge, AI-powered digital products and platforms. We partner with clients to leverage data and AI, accelerating market entry and driving business transformation. As a global community of innovators, we foster a culture of growth, collaboration, and impact.

With the right people and the right ideas, there’s no limit to what we can achieve

About the role:

We're seeking a Senior PV Performance Engineer to support a growing portfolio of utility-scale and distributed solar assets across the United States.

This role combines solar performance engineering, advanced analytics, and data-driven decision making to optimize plant performance, identify energy losses, and improve operational efficiency across the portfolio.

Key Responsibilities

  • Analyze operational and SCADA data from solar PV plants.
  • Evaluate plant performance against expected energy production.
  • Develop performance models and predictive analytics solutions.
  • Identify energy losses, equipment issues, and underperformance drivers.
  • Calculate key performance metrics including PR, availability, and energy performance indicators.
  • Collaborate with Asset Management, O&M, Data Science, and Software teams.
  • Support automation of reporting and analytics using modern programming tools and AI-enabled workflows.

Must-have Skills 

  • 5+ years of experience in solar PV performance engineering, asset management, or performance analytics.
  • Strong experience with PVsyst and photovoltaic performance modeling.
  • Experience analyzing SCADA and time-series operational data.
  • Strong Python and SQL skills.
  • Knowledge of solar plant KPIs, energy losses, and performance testing.
  • Experience with Power BI, Tableau, or similar analytics platforms.
  • Strong understanding of PV systems, inverters, trackers, and solar operations.

Nice-to-have:

  • AI Tooling Proficiency: Leverage one or more AI tools to optimize and augment day-to-day work, including drafting, analysis, research, or process automation. Provide recommendations on effective AI use and identify opportunities to streamline workflows.
  • pvlib, NREL SAM.
  • Machine Learning.
  • AWS or Azure.
  • ASTM / IEC performance testing.
  • CMMS platforms such as Fiix, Maximo, or Sitetracker
  • PMP certification

What we offer:

  • A High-Impact Environment
  • Commitment to Professional Development
  • Flexible and Collaborative Culture
  • Global Opportunities
  • Vibrant Community
  • Total Rewards

 

*Specific benefits are determined by the employment type and location.

 

Find out more about our culture here.

 

Published October 14, 2026
Location Argentina based, Argentina
Category Data Science & ML  

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