Senior Data Scientist - GenAI, LLM RAG | Oil Gas Domain | Houston, TX | Full-Time

Role overview

Responsibilities

• check_circle Build and deploy RAG (Retrieval-Augmented Generation) systems and AI chat interfaces.
• check_circle Work closely with client data science teams (ML/DL ecosystems).
• check_circle Develop GenAI-based enterprise knowledge solutions.
• check_circle Collaborate directly with stakeholders and customers.
• check_circle Develop and implement machine learning algorithms to solve complex business problems.
• check_circle Analyze large datasets to generate insights and inform decision-making processes.
• check_circle Collaborate with product managers and engineers to integrate data science solutions into enterprise products.
• check_circle Communicate findings and recommendations effectively to technical and non-technical stakeholders.
• check_circle Stay current with the latest advancements in data science and machine learning technologies.
• check_circle Machine Learning (ML)
• check_circle Deep Learning (DL)
• check_circle Generative AI (LLMs, RAG systems)
• check_circle Claude/Anthropic-based development or similar GenAI tools.
• check_circle Strong communication and client-facing capabilities.
• check_circle Agentic AI
• check_circle Agent APIs
• check_circle Oil & Gas / Energy sector.
• check_circle AWS ecosystem
• check_circle Snowflake (Data Platform)
• check_circle Strong proficiency in programming languages such as Python or R.
• check_circle Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
• check_circle Solid understanding of statistical analysis techniques and data modeling.
• check_circle Proficiency in data visualization tools (e.g., Tableau, Power BI).
• check_circle Familiarity with big data technologies (e.g., Hadoop, Spark).
• check_circle Ability to work with databases and query large datasets using SQL.
• check_circle Strong problem-solving skills and the ability to think critically.
• check_circle Excellent communication and collaboration skills.

Preferred qualifications

• Master//'s or Ph.D. in Computer Science, Statistics, Mathematics, or a related field.
• Experience in the technology industry or with enterprise-level software products.
• Understanding of cloud computing platforms (e.g., AWS, Azure, Google Cloud).

About the company

• check_circle Halliburton
• check_circle Mu Sigma
• check_circle Mindtree
• check_circle Three rounds of internal technical interviews.
• check_circle One mandatory face-to-face interview.
• check_circle No client round as of now.