Back to SearchSenior Data Scientist with AI and Cloud
Remote in Belarus, & 4 others
Data Science
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We are seeking a driven and highly skilled Senior Data Scientist with AI and Cloud expertise for a leading oil and gas company. You will work alongside Software Engineers, Machine Learning Engineers, Data Engineers and business stakeholders to understand their needs and translate them into reliable, scalable AI-powered solutions. You will contribute to developing AI Agents, end-to-end data applications and the internal platform that hosts them, along with the data pipelines, cloud infrastructure and automation that support them.
Responsibilities
- Develop AI Agents on modern LLM frameworks for analytics assistants, automation and decision support, including engineering prompts, tools, memory and orchestration logic for reliable agent behavior
- Integrate AI Agents with internal data sources, APIs and enterprise applications
- Contribute to the internal platform that hosts, deploys and monitors AI Agents, and build reusable components for orchestration, evaluation, observability and governance
- Design and develop end-to-end data applications, tools and interfaces in Python and React / JavaScript, including APIs, dashboards and interactive interfaces that bring advanced analytics to business users
- Develop advanced analytical models and Power BI deliverables, and define standards and templates that improve consistency and reuse
- Design and maintain ETL/ELT pipelines that prepare, transform and deliver high-quality data for AI and analytics workloads
- Deploy and operate AI solutions on cloud and hybrid infrastructure, making effective use of managed AI, compute and storage services
- Support CI/CD pipelines for AI agents and data applications
- Communicate with internal customers and business teams to gather requirements and feedback and to support adoption of AI solutions
Requirements
- 2-4 years of experience in similar roles (AI Engineer, ML Engineer, Data Engineer), including hands-on experience delivering AI or data solutions to production
- Proficiency in Python
- Expertise in React, JavaScript and TypeScript for frontend development
- Skills in writing performant SQL on relational and analytical databases
- Experience building and consuming REST APIs, working with Git and following modern software engineering practices
- Understanding of data architecture concepts, including data warehousing, data lakes and ETL/ELT
- Experience with Power BI, including data modeling and report development
- English proficiency at B2 level or higher
Nice to have
- Familiarity with LLM and agent frameworks such as LangChain, LangGraph, LlamaIndex, Semantic Kernel or AutoGen
- Experience with vector databases