DATA SCIENTIST

Key responsibilities: 

• Identify and define business needs and goals; 

• Collaborate proactively with business stakeholders and development team to - reach a common understanding of the solution to address the needs; 

• Interact with product managers on roadmap definition; 

• Suggest improvements and appropriate solution options; 

• Build and optimize algorithms while using machine learning techniques; 

• Track and report project progress; 

• Extend company’s data with third party sources of information when needed; 

• Enhance data collection procedures to include information that is relevant for building analytic systems; 

• Process, clean, and verify the integrity of data used for analysis;

 • Communicate the results of research to the product team; 

Requirements: 

• 2+ Data Science experience with Python; 

• Excellent understanding of machine learning techniques and algorithms, such as Generalized Linear Regression, Gradient Boosting, Extreme Gradient Boosting, K-nearest Neighbors, Support Vector Machines, Random forest etc; 

• Proficiency in using query languages such as SQL; 

• Experience with data visualization tools, such as PowerBI, Tableau, Plotly (python) etc; 

• Experience with common data science toolkits, such as Anaconda, GitHub, Docker etc; 

• Good applied statistics skills, such as distributions, statistical testing, regression etc; 

• Good scripting and programming skills; 

• Great communication skills; 

• Data-oriented personality;