- We are looking for a Data Scientist that will help us to extract hidden information from both structured and unstructured datasets allowing us to make smarter decisions and to build even better cognitive products using ML models.
- Primarily you will be focusing on developing machine learning models, performing statistical analysis, pattern analysis, correlation of events, text preprocessing, feature engineering and building high quality prediction systems to be integrated with our products using modern process automation tools or packages.
- Hands-on experience and strong programming skills in Python and SQL. Must have practical exposure to scientific software development packages like numpy, scipy, pytorch, pandas, scikit-learn or seaborn.
- Designing, developing, and researching Machine Learning systems, models, and schemes.
- Strong understanding and hands-on work experience on Time series, Forecasting, NLP, Computer Vision, and Deep Learning.
- Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks.
- Running tests, performing statistical analysis, and interpreting test results.
- Documenting machine learning processes covering all components with E2E technical architecture.
- Right behavior and attitude towards work.
- Strong interpersonal skills and ability to understand the big picture and deliver results in a partnering and collaborative style.
- Passion to understand and analyze business problems consequently trying to address them by leveraging data characterized by high-volume, high dimensionality from multiple sources.
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