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Data scientist

Responsibilities

  • Working with cutting-edge data-driven solutions to client problems

  • Design and implement predictive statistical, machine learning, and optimization models to solve business problems.

  • Developing, evaluating, and deploying new algorithms and methods

  • Understanding clients’ processes and communicating your solutions and results to stakeholders and clients.

 

Qualifications

  • Bachelor’s Degree in an appropriate field of study or equivalent work 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, SLQ, etc.) to manipulate data and draw insights from large data sets

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

  • Troubleshooting and analytical skills

  • Good communication, storytelling, presentation, and collaboration skills

  • An Active Personality and proven as a good team player

 

Welfare & Benefits:

  • 10 days vacation leave per year

  • Flexible Working Time

  • Five days working ( Monday - Friday)

  • Happy Hours (Free Snacks & Drinks)

  • Project Success Celebration

  • Team building Activity and Company Outing

  • Training and Development 

  • Career Opportunity

  • Performance bonus and Annual salary increment

  • Health insurance and Annual physical check