At Enverus, we’re committed to empowering the global quality of life by helping our customers make energy affordable and accessible to the world.
We are the most trusted energy-dedicated SaaS company, with a platform built to maximize value from generative AI, and our innovative solutions are reshaping the way energy is consumed and managed. By offering anytime, anywhere access to analytics and insights, we’re helping our customers make better decisions that help provide communities around the world with clean, affordable energy.
The energy industry is changing fast. But we’ve continued to lead the way in energy technology, creating intelligent connections across the entire energy ecosystem, from renewables, power and utilities, to oil and gas and financial institutions. Our solutions create more efficient production and distribution, capital allocation, renewable energy development, investment and sourcing, and help reduce costs by automating crucial business operations. Of course, this wouldn’t be possible without our people, which is why we have built a team of individuals from a diverse range of backgrounds.
Are you ready to help power the global quality of life? Join Enverus, and be a part of creating a brighter, more sustainable tomorrow.
The Team:
Join Enverus, a leading energy sector analytics company, as we expand our innovative data products that revolutionize courthouse document analysis. As a Senior Data Scientist, you will take a leadership role in enhancing our data science capabilities. You’ll collaborate with a dynamic team dedicated to building top-quality Courthouse Data solutions. At Enverus, you’ll find a culture that values your expertise and encourages your professional growth. If you’re a seasoned data professional who thrives on solving complex problems and shaping data science solutions, we want to hear from you.
Performance Objectives
Utilize your Python expertise to parse complex datasets, manipulate intricate image data, and craft innovative data products that meet our customers’ evolving needs
Enhance and improve our overall data extraction, including new model evaluation and continued development of existing pipelines
Build data science-based data extraction/analysis tools and pipelines
Champion and measure data quality, consistency, and data science-based approaches to problem solving
Competitive Candidate Profile
Bachelor's or master's degree in computer science, data science, or a related field
At least 5 years of experience as a Data Scientist
Advanced proficiency in Python, SQL, Machine Learning, and Generative AI
Ability to collaborate within a team environment and meet project deadlines
Strong communication skills and fluency in English
Technology Stack:
Knowledge of AWS, Docker, MLflow, Databricks, NLP, Image Processing, MLOps
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