Data Scientists

Data Scientists work with the risk-management and marketing teams to develop client relationships and deliver data science solutions for effective decisions. You will need to be comfortable leading technical demonstrations of SynergyOne, helping us develop models that add value to our projects, and integrating those models into project’s environments. Ideal candidates enjoy day-to-day data science problem-solving mixed with high levels of customer interaction.

Key responsibilities include:

1. Build, test and validate predictive models
2. Deliver high quality code and documentation
3. Working with a mixed set of technologies and experimenting with new ones
4. Exploring how state-of-the-art machine learning methods can be applied to our product

Main requirements:

• Strong skills in exploratory data analysis
• Experience with SQL (PostgreSQL)
• Experience with Python (Pandas, Numpy, Scikit-learn, Scipy, etc)
• Experience with machine learning concepts: regression and classification, clustering, feature engineering\selection, ensembling\stacking etc.
• Familiarity with statistical concepts

As a plus:

• Achievements on platforms for data science competitions (Kaggle, DrivenData, etc.)
• Experience with data visualization tools and packages
• Experience with version control systems (Git)
• Experience with R
• Experience with NoSQL (Redis)
• Experience in deployment with Docker
• Familiarity with CRISP-DM
• Experience in building scoring models
• Financial or banking background