About The Position

The Senior Data Scientist is responsible for designing and delivering advanced analytics and agentic AI systems that enhance drilling performance, operational decision-making, and digital capabilities across DBS. This role operates at the intersection of data science, software engineering, and domain expertise—developing intelligent systems that can reason, act, and automate workflows using real-world drilling data. The position works closely with engineers, product teams, and operations to translate complex data into scalable, production-ready solutions.

Requirements

  • Bachelor’s degree in Data Science, Computer Science, Engineering, Mathematics, or related STEM discipline.
  • 4+ years of experience in software or related domain.
  • 2+ years specialized in AI/ML, LLM solutions, and hands-on development of agentic systems and autonomous workflows.
  • Strong proficiency in Python, REST APIs, prompt engineering, RAG pipelines, and stateful agent orchestration frameworks (e.g., LangGraph or equivalent).
  • Experience in deploying and operating LLM/agent workflows in production, including monitoring and evaluation.
  • Experience with Azure AI Foundry or comparable platforms for agent development, deployment, evaluation, and safety controls.
  • Working knowledge of Azure based cloud environment and Databricks.
  • Ability to work independently and deliver end-to-end solutions.
  • Self-directed learner with strong problem-solving skills and practical business judgment.

Nice To Haves

  • Master’s degree or higher in a STEM field.
  • Exposure to drilling, oil & gas, or industrial data environments.
  • Experience collaborating with cross-functional teams (engineering, product, operations).

Responsibilities

  • Design, architect, and implement agentic AI systems using appropriate orchestration patterns, frameworks, LLM integrations, and tooling to support complex, risk aware workflows.
  • Own end to end delivery from prototype to production, ensuring strong data grounding, reliability, human in the loop controls, escalation paths, and graceful failure behavior in live systems.
  • Integrate agentic systems with enterprise data sources, internal APIs, and third party tools in compliance with security, privacy, and data governance policies.
  • Identify opportunities to automate workflows and enhance decision-making using AI-driven approaches.
  • Partner with process owners, domain experts, and governance teams to translate business problems into trusted, usable AI solutions.
  • Contribute to development of data science and AI strategy within DBS.
  • Evaluate emerging technologies in Gen AI and recommend adoption to improve capabilities.
  • Support intellectual property development, including publications and patents.
  • Participate in industry forums, conferences, and technical communities.

Benefits

  • Comprehensive and affordable benefits package that covers your physical, emotional, financial, and parental needs
  • Wide range of programs designed to help you thrive at work and at home
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