استخدام Data Scientist
شرح موقعیت شغلی
Description
In Sheypoor, we deal with large and diverse amounts of data in different processes. The variety of variables plus a vast amount of data increases the complexity of issues.
Therefore, proper data collection, extracting existing trends, the art of researching and extraction of up-to-date methodologies, model designing and creating efficient architectures, testing and evaluation of models, representing the big picture of solution and interaction to bring the whole effort into the implementation stage are the main responsibilities we are looking in you as a Data Scientist.
Responsibilities
• Problem identification, understanding, and extraction of details.
• Collecting, processing, and aggregating variant data types based on the problem.
• Statistical data analysis. Making data alive.
• Researching. Literature review based on previous efforts.
• Model Designing based on machine learning, deep learning, or any heuristic methodologies.
• Training, testing, and evaluating models and architectures based on proper metrics.
• Representing results based on creative tools and the power of visualization. Making results alive.
• Co-working with engineers to implement, test, and optimize the designed solution.
Requirement
• Ph.D./MS in Computer Science, Mathematics, Physics, Statistics, Industrial Engineering (Optimization), or other related fields. Good research ability is necessary.
• 2+ years of experience doing real data science projects with real data or any valid and proven research/projects in the data field. The quality of previous projects and knowledge is preferred to years of experience.
• Experience working with different databases and data structures. (Relational or Non-Relational/Structural or Non-Structural). Ability to handle and working with big data is necessary.
• Experience with Python and OOP programming languages is absolutely necessary.
• Experience in working with powerful python ML/DL libraries such as Pytorch (or) TensorFlow, scikit-learn, etc. is absolutely necessary.
• Practical knowledge of statistical data analysis, different machine learning algorithms, research methodologies, and deep learning.
• Ability of data visualization with any tool.
• Demonstrated knowledge in more specialized and focused fields such as NLP, Recommendation Systems, Computer-Vision, etc. is a big positive point.
In Sheypoor, we deal with large and diverse amounts of data in different processes. The variety of variables plus a vast amount of data increases the complexity of issues.
Therefore, proper data collection, extracting existing trends, the art of researching and extraction of up-to-date methodologies, model designing and creating efficient architectures, testing and evaluation of models, representing the big picture of solution and interaction to bring the whole effort into the implementation stage are the main responsibilities we are looking in you as a Data Scientist.
Responsibilities
• Problem identification, understanding, and extraction of details.
• Collecting, processing, and aggregating variant data types based on the problem.
• Statistical data analysis. Making data alive.
• Researching. Literature review based on previous efforts.
• Model Designing based on machine learning, deep learning, or any heuristic methodologies.
• Training, testing, and evaluating models and architectures based on proper metrics.
• Representing results based on creative tools and the power of visualization. Making results alive.
• Co-working with engineers to implement, test, and optimize the designed solution.
Requirement
• Ph.D./MS in Computer Science, Mathematics, Physics, Statistics, Industrial Engineering (Optimization), or other related fields. Good research ability is necessary.
• 2+ years of experience doing real data science projects with real data or any valid and proven research/projects in the data field. The quality of previous projects and knowledge is preferred to years of experience.
• Experience working with different databases and data structures. (Relational or Non-Relational/Structural or Non-Structural). Ability to handle and working with big data is necessary.
• Experience with Python and OOP programming languages is absolutely necessary.
• Experience in working with powerful python ML/DL libraries such as Pytorch (or) TensorFlow, scikit-learn, etc. is absolutely necessary.
• Practical knowledge of statistical data analysis, different machine learning algorithms, research methodologies, and deep learning.
• Ability of data visualization with any tool.
• Demonstrated knowledge in more specialized and focused fields such as NLP, Recommendation Systems, Computer-Vision, etc. is a big positive point.
مهارتهای مورد نیاز
- Data science
- Python
- OOP
- Pytorch
حداقل سابقه کار
- سه تا شش سال
جنسیت
- مهم نیست
وضعیت نظام وظیفه
- مهم نیست