Data Scientist — Energy & Analytics
Jobvous Staffing Solutions, LLC, Houston, TX, United States
Data Scientist — Energy & Analytics
Houston energy companies are building enterprise AI. They need Data Scientists who understand both the model and the business.
About the opportunity:
Jobvous Staffing Solutions is placing Data Scientists across Houston's leading energy companies — from upstream operations and commercial analytics to sustainability and energy transition initiatives.
These are high-impact roles at companies where your models will influence decisions that move billions of dollars and millions of barrels of oil. If you're ready to work on problems that matter, these opportunities are for you.
Responsibilities
Build predictive models for production optimization, pricing, and operational analytics
Work with large-scale time-series and sensor data from energy operations
Develop GenAI and LLM-powered tools for document automation and decision support
Collaborate with engineering and operations teams to deploy models into production
Present findings and business impact to senior technical and business stakeholders
What we are looking for
Master's or PhD in Data Science, Statistics, Engineering, or related field preferred
3+ years experience in data science with production deployment
Strong Python, PyTorch or TensorFlow, and SQL proficiency
Databricks, Azure ML, or AWS SageMaker experience valued
GenAI / LLM experience (LangChain, RAG, Azure OpenAI) is a strong differentiator
Energy domain experience (upstream, midstream, trading, sustainability) is a plus
#J-18808-Ljbffr
Houston energy companies are building enterprise AI. They need Data Scientists who understand both the model and the business.
About the opportunity:
Jobvous Staffing Solutions is placing Data Scientists across Houston's leading energy companies — from upstream operations and commercial analytics to sustainability and energy transition initiatives.
These are high-impact roles at companies where your models will influence decisions that move billions of dollars and millions of barrels of oil. If you're ready to work on problems that matter, these opportunities are for you.
Responsibilities
Build predictive models for production optimization, pricing, and operational analytics
Work with large-scale time-series and sensor data from energy operations
Develop GenAI and LLM-powered tools for document automation and decision support
Collaborate with engineering and operations teams to deploy models into production
Present findings and business impact to senior technical and business stakeholders
What we are looking for
Master's or PhD in Data Science, Statistics, Engineering, or related field preferred
3+ years experience in data science with production deployment
Strong Python, PyTorch or TensorFlow, and SQL proficiency
Databricks, Azure ML, or AWS SageMaker experience valued
GenAI / LLM experience (LangChain, RAG, Azure OpenAI) is a strong differentiator
Energy domain experience (upstream, midstream, trading, sustainability) is a plus
#J-18808-Ljbffr