Data Scientist - Energy & Analytics

Job Description Job Description 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