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Data Scientist, Power Markets
full-timeScottsdale

Summary

Location

Scottsdale

Type

full-time

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About this role

About Arevon


Arevon is a U.S. energy leader committed to powering America with affordable, reliable, and secure homegrown energy. Headquartered in Scottsdale, Arizona, and with a regional office in New York City, the company’s experienced and dedicated staff develops, finances, builds, owns, and operates renewable energy projects nationwide. With a strong track record in utility-scale solar and energy storage, Arevon is a trusted partner to utilities and businesses seeking cost-effective, sustainable energy solutions. By prioritizing American manufacturing and domestic energy production, the company invests in U.S. jobs, strengthens local economies, and advances the country’s energy independence.




 

The Position


Arevon is recruiting for the position of Data Scientist on the Market Operations team, an outstanding opportunity for individuals seeking an exciting, high-growth work environment in one of the most important industries of the 21st century.


The Data Scientist will be responsible for developing algorithms, predictive models, and optimization methods to support Arevon’s energy storage portfolio. This position will collaborate with other teams throughout Arevon to develop and understand development and operating assumptions for both new investment opportunities, as well as current assets.


Key Responsibilities



  • Lead the improvement of price forecast models for power markets—including day-ahead, real-time, and long-term price projections for power and ancillary services.

  • Analyze large-scale power market datasets (e.g., CAISO, ERCOT, MISO, NYISO) to identify trends, drivers, and risks affecting price formation and asset value.

  • Translate quantitative research and market analysis into actionable insights for trading, asset management, and investment decisions.

  • Stay current on market rules, regulatory changes, and emerging trends in energy markets, integrating this knowledge into modeling and strategy.

  • Performs other job-related duties as assigned.


Required Qualifications



  • Direct experience working with power market data and analytics (e.g., CAISO, ERCOT, MISO, NYISO, PJM, or similar).

  • Experience in modeling, forecasting, or optimizing within power/energy markets.

  • 3+ years of hands-on experience in data analysis and quantitative modeling.

  • Advanced programming skills in Python or R; strong SQL.

  • Proficiency with mathematical programming/optimization and model validation.

  • Ability to manage and analyze large, unstructured datasets using distributed computing platforms.

  • Strong communication skills to translate complex quantitative findings into actionable business insights.


Why Join Arevon?


We believe you should love what you do and love where you work, which is why we offer a wide range of benefits to support your personal and professional well-being.



  • Competitive Compensation and Incentives

  • Generous Paid Time Off

  • Flexible Work Environment

  • 401(k) Plan with 6% Company match

  • Tuition Reimbursement Program

  • Paid Parental and Caregiver Leave

  • Inspiring Company Culture

  • Professional Development Opportunities


Equal Opportunity Employer Statement


Arevon is an equal opportunity employer committed to fostering a diverse and inclusive workplace. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic under applicable law. We encourage candidates of all backgrounds to apply.

Other facts

Tech stack
Data Analysis,Quantitative Modeling,Power Market Data,Forecasting,Optimization,Python,R,SQL,Mathematical Programming,Model Validation,Distributed Computing,Communication Skills

About Arevon

Arevon is a U.S. energy leader committed to powering America with affordable, reliable, and secure homegrown energy. Headquartered in Scottsdale, Arizona, and with a regional office in New York City, our experienced and dedicated team develops, finances, builds, owns, and operates renewable energy projects nationwide. With a strong track record in utility-scale solar and energy storage, Arevon is a trusted partner to utilities and businesses seeking cost-effective, sustainable energy solutions. By prioritizing American manufacturing and domestic energy production, we invest in U.S. jobs, strengthen local economies, and advance the country’s energy independence.

Team size: 201-500 employees
LinkedIn: Visit
Industry: Renewable Energy Power Generation

What you'll do

  • The Data Scientist will lead the improvement of price forecast models for power markets and analyze large-scale power market datasets to identify trends and risks. They will also translate quantitative research into actionable insights for trading and investment decisions.

Ready to join Arevon?

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Frequently Asked Questions

What does a Data Scientist, Power Markets do at Arevon?

As a Data Scientist, Power Markets at Arevon, you will: the Data Scientist will lead the improvement of price forecast models for power markets and analyze large-scale power market datasets to identify trends and risks. They will also translate quantitative research into actionable insights for trading and investment decisions..

Why join Arevon as a Data Scientist, Power Markets?

Arevon is a leading Renewable Energy Power Generation company.

Is the Data Scientist, Power Markets position at Arevon remote?

The Data Scientist, Power Markets position at Arevon is based in Scottsdale, Arizona, United States. Contact the company through Clera for specific work arrangement details.

How do I apply for the Data Scientist, Power Markets position at Arevon?

You can apply for the Data Scientist, Power Markets position at Arevon directly through Clera. Click the "Apply Now" button above to start your application. Clera's AI-powered platform will help match your profile with this opportunity and guide you through the application process. You can also learn more about Arevon on their website.