Contra - A professional network for the jobs and skills of the futureA typical week in my work as a Data Scientist looks like: • checking data quality issues before t...
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Lilya YAHIAOUI
• Jan 23
A typical week in my work as a Data Scientist looks like:
• checking data quality issues before they break forecasts • debugging feature pipelines in PySpark • retraining models and tracking experiments in MLflow • explaining results to non-technical stakeholders • simplifying models so teams can maintain them
Most of the value doesn’t come from fancy algorithms it comes from making ML reliable.
If your team needs someone who can operate between data, product, and engineering: 👉 I’m available for freelance, or part-time collaborations.
Data ScienceMachine Learning Engineering
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