Chief Scientist
10 hours ago
Responsibility:
- The chief data scientist must lead and mentor a team of data scientists and data engineers.
- Chief data scientist must drive machine learning / deep learning initiatives of the company in all areas.
- You should be able to to design and deploy Machine Learning algorithms for consumer and commercial products.
- You will be collaborating with engineering teams to develop prototypes and software products as per client specification. Machine learning and deep learning solution must be developed to solve the actual business problem.
- Key tasks of project and delivery man agent like manage stake holders expectations, and working with business users to gather requirements, resolve business rule requirements, design ML solution, create POC for the proposed solution and perform joint conceptual data model reviews.
- Design and develop the enterprise-level conceptual, logical, and physical data models.
- The chief data scientist should be able to define overall, strategic and tactical, Big Data roadmap for design, development and implementation of the enterprise data warehouse (EDW) and its associated data stores so that it can be used for ML/DL activities.
- Should be well versed with the range of existing Big data technologies and data modelling techniques. One should be able to design complete data model, ingestion pipeline, data pre-processing pipeline, data cleansing strategy and finally the system for large scale data analysis.
- The chief data scientist should be able to work various project development methodology including agile or waterfall techniques.
- **Required Skills and Qualifications**
- Ph.D. in a scientific discipline with 10+ years of experience in the information industry
- Proven track record of success in IT discovery and development
- Extensive knowledge of the algorithm developer.
- Experience with the reporting tools/software packages to communicate their findings visually to stakeholders.
- Good experience and theoretical knowledge of Artificial Neural Network ( ANN ), AI Chatbot, CNN and NLP. Experience in different programming language can be an added advantage for chief data scientist.
- Chief data scientists must have experience in Natural Language Processing, Machine learning, Deep learning, Artificial Intelligence, Conceptual modeling, Statistical analysis, Predictive modeling, Hypothesis testing.
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