Data Engineer-Machine Learning

il y a 3 semaines


Antwerp, Belgique WhatJobs Temps plein

Join to apply for the Data Engineer-Machine Learning role at IBM Introduction A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You’ll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you’ll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You’ll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences. Your Role And Responsibilities As an entry level Data Scientist at IBM, you will work to solve business problems using leading edge and open-source tools such as Python, R, and TensorFlow, 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. In your role, you may be responsible for: Implementing and validating predictive and prescriptive models and creating and maintaining statistical models with a focus on big data & incorporating machine learning techniques in your projects Writing programs to cleanse and integrate data in an efficient and reusable manner Working in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviors Communicating with internal and external clients to understand and define business needs and appropriate modelling techniques to provide analytical solutions Evaluating modelling results and communicating the results to technical and non-technical audiences Preferred Education Master's Degree Required Technical And Professional Expertise Strong fundamentals in Mathematics and Computer Science (algorithms) Proficient in at least one of the statistical programming languages such as R, Python, Scala or SAS, SPSS, Matlab Basic understanding of predictive/prescriptive modeling skills Strong technical and analytical abilities, a knack for driving impact and growth, and some experience with programming/scripting in a language such as Java or Python Great at solving problems by looking at things differently, debugging, troubleshooting, and designing & implementing solutions to complex technical issues Preferred Technical And Professional Experience Thrives on teamwork and has excellent verbal and written communication skills Interest in, understanding of, or experience with Design Thinking and Agile Development Methodologies Basic understanding of Cloud (AWS, Azure, etc) Familiarity constructing usable data sets from multiple structured and unstructured data sources Seniority level Mid‑Senior level Employment type Full‑time Job function Information Technology Industries IT Services and IT Consulting Referrals increase your chances of interviewing at IBM by 2x #J-18808-Ljbffr


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