Senior Data Scientist - AI
IBMLithuania5 days ago
Full-timeEngineering, Information Technology
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Introduction
As a Data Scientist at IBM, you will help transform our clients’ data into tangible business value by analyzing information, communicating outcomes and collaborating on product development.
Your Role And Responsibilities
As Data Scientist at IBM, you will work to solve business problems using Python (from scripts to applications), combined with IBM tools and our AI application suites.
You will prepare, analyze, and understand data to deliver insight, predict emerging trends, and provide recommendations to stakeholders.
Required Technical And Professional Expertise
As a Data Scientist at IBM, you will help transform our clients’ data into tangible business value by analyzing information, communicating outcomes and collaborating on product development.
Your Role And Responsibilities
As Data Scientist at IBM, you will work to solve business problems using Python (from scripts to applications), combined with IBM tools and our AI application suites.
You will prepare, analyze, and understand data to deliver insight, predict emerging trends, and provide recommendations to stakeholders.
Required Technical And Professional Expertise
- Education in a quantitative field (e.g., Computer Science, Economics, Engineering, Mathematics, Finance, Statistics, Operations Research, Physics)
- Coursework in mathematics, statistics, machine learning, and data mining, feature engineering
- High level of comfort with various data types and structures: structured versus unstructured data
- Experience in data cleaning, validation, integration
- Basic understanding of Large Language models.
- Experience of applying advanced analytics and predictive modelling techniques in a professional context
- Experience of working within an Agile environment
- Experience with SQL and NoSQL databases
- Experience with Azure, AWS, GCP or IBM cloud platforms is a plus
- Experience with models from Hugging Face, FastAPI, Transormers, Pydantic, OpenCV
Key Skills
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