Data Science Engineer

Experience

Deep Learning for tabular data

• deep learning and classical machine learning approaches on tabular data for monthly revenue predictions, estimation of payment probabilities, client and portfolio scoring models
• work with SQL databases including data cleaning with tools for distributed computing (such as dask), exploratory data analysis, hypothesis testing and model selection (using tools such as ray)
• time-series modeling for history-aware deal-by-deal revenue prediction

• chat- and voice- bot models
• named-entity recognition for chatbots with transformers in English and Asian languages

• Voicebot, Speech-To-Text and Text-To-Speach web services
• Google Cloud services

Skills

Python Machine Learning Data Science statistics PyTorch Deep Learning NLP SQL Docker Google Cloud PySpark Databricks AWS

Highlights

• 8 peer-reviewed journal articles in high-energy physics
• 4 conference talks, multiple posters presented

Looking for

• research-oriented tasks (more science, less engineering)
• flexible schedule