A data science specialist is someone who can perform the entire data science lifecycle, from data collection and preparation, to analysis and modeling, to communication and presentation. They can work on different types of data, such as structured, unstructured, or streaming, and apply various methods, such as machine learning, deep learning, or natural language processing, to solve complex problems. A data science specialist can work in various industries and domains, such as healthcare, finance, education, or e-commerce, and collaborate with other professionals, such as data engineers, business analysts or software Developers
Key responsibilities:
1. To become a data science specialist, you need a combination of hard and soft skills.
2. Hard skills include proficiency in programming languages, such as Python or R, and frameworks, such as TensorFlow or PyTorch, for data manipulation, analysis, and modeling.
3. You also need a solid foundation in mathematics, statistics, and algorithms, for understanding and applying data science concepts and techniques.
4. Familiar with data visualization tools, such as Tableau or Power BI, and reporting tools, such as Jupyter Notebook or Google Colab, for creating and sharing data stories.
5. Soft skills include critical thinking, creativity, and curiosity, for finding and framing data science problems and solutions.
6. You also need communication, collaboration, and project management skills, for working effectively with stakeholders and delivering data science projects.
7. able to Relocate PAN India
8. Candidates interested in teaching or training may apply.
Skill(s) required
Data AnalyticsData ScienceMachine LearningNatural Language Processing (NLP)
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