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Senior Data Scientist

Responsibilities

  • Leading data scientists and complex projects to completion

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

  • Developing, evaluating, and deploying new models and techniques

  • Coaching and mentoring junior data scientists to develop their skills

  • Understanding clients’ processes and communicating 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

  • An outgoing personality who has proven to be a good team player

  • Agile methodology mindset