Dasa

Data Scientist

• Design and implement analytical and technical solutions for complex data problems with a high degree of autonomy;
• Define technical strategy: solution design, effort estimates, phases, and timelines;
• Lead exploratory data analyses (EDA) to understand business scenarios, identify inconsistencies, and propose high-impact solutions;
• Develop and deploy Machine Learning models (prediction, NLP, computer vision, LLMs, etc.), ensuring performance and scalability;
• Define and monitor metrics for deployed models’ performance and quality;
• Prepare technical presentations and results reports for stakeholders and product teams;
• Serve as a technical lead and mentor for junior data scientists.

Data Scientist, Staff – AI & Data Science