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Senior Data Scientist with AI and Cloud
- Pay
- Pay not listed
- Work setting
Remote — work setting source
Work setup in the employer’s posting: TELECOMMUTE
From the employer’s posting- Employment
- Not stated
What you’ll work on
Full postingDevelop AI agents on LLM frameworks for analytics, automation and decision support
Integrate AI agents with internal data sources, APIs and enterprise applications
Design and develop Python and React data applications, APIs and dashboards
Design and maintain ETL/ELT pipelines for AI and analytics workloads
Deploy and operate AI solutions on cloud and hybrid infrastructure
From the employer’s posting
Develop AI Agents on modern LLM frameworks for analytics assistants, automation and decision support
Integrate AI Agents with internal data sources, APIs and enterprise applications
Design and develop end-to-end data applications, tools and interfaces in Python and React / JavaScript, including APIs, dashboards and interactive interfaces
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
Posting record
Report an errorActively hiringFirst seen by us 2 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 1, 20262 days ago
- Recorded sightings
- 4
- Last seen by us
- Nov 4, 2026
- Employer says posted
- Oct 30, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
EPAM Systems is hiring
656 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordSee how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- JavaScript
- Python
- SQL
- TypeScript
- Power BI
- React
Where the posting names them
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
Your next step
Complete your application on careers.epam.com. The employer’s form will show what is required.
Already applied? Track this application
About the role
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
US government figures for data scientists
- Median yearly pay, May 2025
- $120,230
- Expected change, 2025 to 2035
- 34.6% more jobsagainst 3.5% for all jobs
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
Job description
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
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