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14-02-2023

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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;

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;

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Data Scientist Middle