Data Scientist
NewBe an early applicant- Develop suitable (Data management system or AI) products in technical areas using Machine Learning and Deep Learning techniques on big scale data.
Collaborate with business teams from various industries.
Eager to learn and follow research, prototype, and implement applications of ML and DL algorithms in real-world data science problems.
Discover the proper ML approach for the business problem.
Willingness to learn new technologies help advance best approaches for solving the business problem.
Decent Understanding of object oriented programming (OOP)
Identify valuable data sources and automate collection processes
Undertake preprocessing of structured and unstructured data
Extract data from multiple data sources, request the suitable data for the case.
Requirements
0-2 years of experience
Bachelor/Master in Computer science, communication engineering, electronics engineering, computational engineering etc.
Analytical mind and business acumen
Strong math skills (e.g. statistics, algebra)
Has a strong background in querying databases and using statistical computer languages (R, Python, etc.) (Proof of coding background through project portfolio is needed)
Hands on experience on one or more of the frameworks and libraries: Sci-kit learn, TensorFlow, Keras, Open CV, nltk, PyTorch
Has Strong mathematical and statistical background (Proof of at least 3 math courses at the university is needed)
Visualization using BI tools (Tableau is preferred )
Able to run ETL pipelines on large scale datasets from different sources.
Must be detail-oriented, highly accurate and possess excellent problem-solving skills.
Must be able to multi-task and stay organized.