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Senior Data Scientist

Responsibilities

  • Lead data scientists and complex projects to completion.

  • Design, plan, prioritize and be responsible for data projects.

  • Develop, evaluate, and deploy new models and techniques.

  • Coach and mentor junior data scientists to develop their skills.

  • Understand clients’ processes and communicate technical solutions and model results to stakeholders and clients.

 

Qualifications

  • 3 years experience as a Data Scientist delivering end-to-end data projects

  • Bachelor or Master Degree in Mathematics, Computer Science, Information Management Statistics or equivalent industry experience.

  • Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.

  • Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications.

  • Experience in using statistical computer languages (Python, PySpark, SQL, etc.) to manipulate data and draw insights from large data sets

  • A strong passion to identify and solve business problems using data science techniques

  • Ability to communicate clearly and work closely with cross-functional teams such as Data Analyst, Data Visualization, Data Engineering, Software Engineering, and businesses functions

  • Excellent organizational and leadership skills

  • A good team player

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