This mid-level Data Scientist role focuses on applying data science methods to generate practical insights and support decision-making. The position centers on using Python, statistical modelling, machine learning, and SQL to work with data, develop analyses, and contribute to data-driven outcomes.
• Python — target L6 (Prof), must-have • Statistical modelling — target L6 (Prof), must-have • Machine learning — target L5 (Prof), must-have • SQL — target L5 (Prof), must-have • Experiment design — target L4 (Dev), nice-to-have • Data storytelling — target L4 (Dev), nice-to-have • AI Build capability — validated by a live work-sample • Working AI leverage — observed and scored, never assumed • 2–6 years of relevant experience
Analyze data using Python and SQL to support business or product questions. Build and apply statistical models and machine learning approaches to identify patterns, generate insights, and inform decisions. Interpret results and communicate findings in a clear, usable way. Contribute to experiment design where needed and help translate analytical work into understandable narratives.
this position is for US based client.
This role offers the opportunity to contribute hands-on data science work across analysis, modelling, and machine learning at a mid-level scope. It is a strong fit for someone who wants to apply core technical skills while helping turn data into clear, actionable insight.
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