Data Science and Data Engineering go hand-in-hand, and a good Data Scientist has solid data engineering skills. During your first 18 months in this mixed Junior position, you'll get a rapid learning and hands-on curve working on the broad Analytics domains. You'll build Data Pipelines, set up Data Platforms, do CICD, build ML models, do feature engineering, do visualization exercises, and much more. This Junior position is a great opportunity to learn what it takes to do Analytics from end to end.
Our job offer is there to reflect a mixed Data Engineer/Scientist position: i.e., one where we’ll be asking you to crunch data with the objective to build data-driven insights, machine learning models, and to embed them in end-to-end applications (such as genAI applications) to production.
As a Data Engineer/Scientist, you aim to work hands-on to deliver data-driven platforms, machine learning models & genAI applications. Every mission we’ll embark on a trajectory with concrete deliverables and a deadline. This means that we can guarantee you a variety of engagements across clients & industries: e.g., one month you might be working on ingesting time-series data for a manufacturing customer and, another month, on a churn model for a marketing client.
Being a Data Engineer/Scientist at element61 means you will work with businesses and executives in Belgium, helping them to understand the impact of (big) data, analytics, machine learning & artificial intelligence. As time passes, we’ll encourage you to build a functional expertise within a business or technical domain within your interest, such as ad-tech, deep learning, digital marketing, predictive maintenance, or others.
Job details are sourced from the employer's original posting.
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element61 is a leading business analytics and data science consulting firm.