Data Scientist

• Selecting features, building and optimizing classifiers using machine learning techniques
• Data mining using state-of-the-art methods
• Extending company’s data with third party sources of information when needed
• Enhancing data collection procedures to include information that is relevant for building analytic systems
• Processing, cleansing, and verifying the integrity of data used for analysis
• Doing ad-hoc analysis and presenting results in a clear manner
• Creating automated anomaly detection systems and constant tracking of its performance
• Interfacing with product and software development team and clearly communicating model analysis and outputs to be integrated into a software product.
• Effectively communicate conceptual ideas, detailed design, design rationale, and research findings, both verbally and visually.

Data Scientist/Engineer

Lead Engineer, Data Science

AI Engineer, Data Science – Research

Product Analytics

Staff Data Scientist, Life Sciences AI – RWE & Meta-Analysis

Staff Data Scientist