Euronext Clearing - Enhancing Density-Based Clustering for Time Series Data Quality Analysis
Rome - via Tomacellionsite
Posted 2 days ago · via Workday
About this role
Enhancing Density-Based Clustering for Time Series Data Quality Analysis Conduct research on data quality challenges in time series data, including missing values, outliers, structural breaks, and data inconsistencies, and investigate how unsupervised machine learning techniques can support automated detection and monitoring processes. Contribute to the improvement of a density-based clustering framework for time series data quality monitoring, focusing on the design and evaluation of alternative cluster formation methodologies to better identify anomalous, inconsistent, or low-quality data patterns.…
What we'd score you on
reqspace match rubricFive dimensions, recruiter-grade. Upload your resume and we'll generate a written explanation of where you fit and where the gaps are.
1
Skills match
For this role: python, pandas, numpy, scipy, scikit-learn
2
Level fit
We check your title trajectory against the seniority signal of the role.
3
Domain experience
Your work in the role's domain matters more than your years total. We weight recent and direct experience.
4
Recency
A skill you used last quarter weighs more than one from five years ago. We grade on recency, not lifetime.
5
Location fit
This role is based in Rome - via Tomacelli. We weight your proximity and willingness to relocate.
Score yourself on this role.
Free · no card · written explanation included
Skills in this role
Pulled from the job description. These are the keywords we'll weight when scoring your fit.
pythonpandasnumpyscipyscikit-learn