Data Scientist
Bekaert
full-time
Posted on:
Location Type: Office
Location: Deerlijk • Belgium
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About the role
- You will play a pivotal role in planning, executing, and delivering machine learning-based projects.
- Collaborate with cross-functional stakeholders to understand the business usage of data, architect specialized database and computing environments and communicate recommendations to enable decision-making.
- Identify data-driven / ML business opportunities
- Collaborate across business teams to understand IT and business constraints
- Understand new data sources and process pipelines and catalog/document them
- Create data pipelines for more efficient and repeatable data science projects
- Apply statistical analysis and visualization techniques to various data
- Generate hypotheses about the underlying mechanics of the business process
- Validate & optimization of models
- Train other business and IT staff on basic data science principles and techniques
- Work within an agile delivery methodology in a leading role.
Requirements
- At least 3 years of progressive relevant experience in data science; successfully launching, planning, and executing significant data science projects.
- You will ideally have a specialization in ML, AI, cognitive science or data science.
- Experience building and deploying predictive models, web scrapping, and scalable data pipelines.
- Experience with statistical software, scripting languages, and packages. Python/Jupyter is required.
- Experience with the data science platforms - Azure Machine Learning. Others (e.g. Google Cloud ML) are appreciated.
- Knowledge and experience in statistical and data mining techniques - generalized linear model /regression, random forest, boosting, trees, text mining, hierarchical clustering, deep learning, neural network, graph analysis, etc.
- Experience on Open-source data science libraries (e.g. sklearn, Tensorflow,...), open-source visualisation libraries (e.g.Plotly Dash/Bokeh, Streamlit, ..)
- Experience with popular database programming languages including SQL.
- Experience of Data Visualisation Products such as Power BI is a plus.
- Experience with large language models and prompt engineering.
- Good understanding of agile principles and development methodologies and capability of supporting agile teams by providing advice and guidance on opportunities, impact and risks.
- Good analytical, planning and organizational skills.
Benefits
- Be part of something bigger!
- Employee Login Career Home Why Join Us Hiring Process Digital Opportunities Jobs Per Category Corporate Services Sales and Marketing HR and SHE Engineering and Production R&D and Technology Information Technology
- Collaboration with global teams
- Commitment to pushing the boundaries of steel wire transformation and coatings
- Focus on innovative solutions and sustainable practices
- Competitive salary
- Diversity celebration and commitment to creating an inclusive work environment
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
machine learningdata sciencepredictive modelsweb scrapingdata pipelinesstatistical analysisPythonSQLAzure Machine Learningdeep learning
Soft Skills
collaborationcommunicationanalytical skillsplanning skillsorganizational skillsagile methodologytrainingproblem-solvingdecision-makingstakeholder engagement