Data Scientist - Generative AI

Job description

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. Work with Best in Class open source and visual tools, along with the most flexible and scalable deployment options. Whether it’s investigating patient trends or weather patterns, you will work to solve real world problems for the industries transforming how we live.

Your Role and Responsibilities
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. You will work with state-of-the-art open source and proprietary tools, along with the most flexible and scalable deployment approaches. Whether it’s investigating patient trends or weather patterns, you will work to solve real world problems for the industries transforming how we live.

• Communicating with internal and external clients to understand and define business needs
• Initial project analysis, setting up project activities in the data science area and monitoring their delivery
• Implementing, validating and maintaining predictive, prescriptive and generative (foundation) models with a focus on big data
• Evaluating modelling results and communicating the results to technical and non-technical audiences
• Working with both open source and proprietary technologies (such as IBM Cloud, Google Cloud Platform, Microsoft Azure, AWS...)
• Assisting clients in leveraging their data resources and acting as an advocate of data-driven application development
• Working in an agile, collaborative environment, partnering with other scientists, engineers, consultants and specialists of all backgrounds and disciplines to bring analytical rigor and statistical methods to the data-drive application development

Required Technical and Professional Expertise

• You have at least 2 years of experience in the data science field
• You have a strong understanding of the core data science algorithms and statistics fundamentals
• You're proficient at at least one of the key programming languages used in data science such as R or Python (Python is preferred)
• You have a demonstrated knowledge of data manipulation, data mining and a variety of supervised and/or unsupervised modeling techniques
• You have strong technical and analytical abilities, a knack for driving impact and growth
• You're comfortable with solving problems by looking at things differently, debugging, troubleshooting, and designing & implementing solutions to complex technical issues
• You have a proven record of transforming user requirements into production-ready analytical applications
• You are able to communicate with a wide range of audience in both English and Czech

Preferred Technical and Professional Expertise

• You thrive on teamwork and have excellent verbal and written communication skills
• You have experience with NLP techniques and generative AI
• You have a solid knowledge of one or more cloud computing platforms such as IBM Cloud, Microsoft Azure, Google Cloud Platform, or AWS
• You have experience with additional programming languages or other data science tools, such as big data processing frameworks