Data engineer Jobs in Provo, UT

AI Data Scientist

Job Level : Intermediate to Senior-Level

Location : Orem, UT

Shift : Full-Time

Compensation : DOE

Benefits :   Full-time employees are eligible for Health, Dental, Vision, & Life and Accident insurance, an HSA Savings Account, and the opportunity to receive stock options.

Company Overview :

Complete Solar is a residential solar company dedicated to making clean, renewable energy accessible and affordable for everyone. As climate change continues to impact our world, we focus on creating a brighter, more sustainable future for both people and the planet. We sell directly to consumers and provide a seamless experience from sales and installation to financing and ongoing support. At Complete Solar, we are a value-driven organization that strives to develop a high-trust culture, operate efficiently, and continuously improve. If that sounds like something you want to be a part of, apply today! Join us in revolutionizing the solar industry and building a greener tomorrow.

Position Summary :

As an AI Data Scientist, you will work with a cross-functional team to design and implement machine learning and AI solutions that drive automation, optimization, and decision-making. You will build and enhance models using advanced algorithms, leverage large datasets, and improve operational workflows across the organization. Your role will focus on researching and developing AI systems that have a real impact on business processes and deliver results.

Essential Duties :

• As part of the AI Team, you will be doing Research to AI model development including data procuring and analysis, prototyping, testing, and deployment
• Strategizing in tight collaboration with leadership. Working closely with product designers to apply AI / ML to create features, collaborate with data engineers for data acquisition from Enphase Digital Platform Products, collaborate with infrastructure engineers to deploy and model pipelines
• Writing production-level, re-usable, easy-to-interpret code in Python(required), or other languages, while engaging in collaborative code reviews, and providing technical feedback to improve existing ML model performance
• Establish a scalable, efficient, automated processes for large scale data analysis, model development, model validation, and model implementation

Minimum Qualifications :

70% marks

Preferred Qualifications :