Data Scientist – Artificial Intelligence

Data Scientist – Artificial Intelligence

Primary Skills: AI & GenAI, AI Agents, LLMs, Agentic Workflows, Python, TypeScript, Node.js, React, SQL, APIs, Microsoft Azure, Databricks, Data Engineering, Analytics

Skill Level: Senior

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Role Overview

Senior Data Scientist / AI Engineer responsible for designing and implementing AI, GenAI, and agentic solutions, while developing enterprise-scale applications, data pipelines, and analytics capabilities.

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Key Responsibilities

• Design and implement AI agents, LLM integrations, and agentic workflows.
• Develop AI-driven automation and intelligent enterprise solutions.
• Build full-stack applications using Python, TypeScript, Node.js, React, SQL, and APIs.
• Develop data pipelines, automation frameworks, and analytics solutions.
• Design and integrate solutions using Microsoft Azure and Databricks.
• Support business and operational workflows through AI and data-driven solutions.
• Collaborate with technical and business stakeholders to deliver scalable AI solutions.

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Required Skills

• Strong experience with AI, GenAI, LLMs, and AI agents.
• Experience designing agentic workflows and AI automation.
• Strong Python skills.
• Strong experience with TypeScript, Node.js, React, SQL, and API development.
• Experience building data pipelines and analytics solutions.
• Hands-on experience with Microsoft Azure and Databricks.
• Ability to develop enterprise-scale, scalable applications and AI solutions.

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Nice to Have

• Experience in the energy / oil & gas industry.
• Knowledge of energy data platforms and visualization solutions.
• Experience with upstream oil & gas workflows, including geoscience, drilling, and production.
• Experience with enterprise AI transformation initiatives.