Data Scientist
Classic Data Scientist
Description:
- Classic/Traditional Machine learning (Data Science)- Immediate joiner
- Machine learning: Applying algorithms to enable systems to learn from data without being explicitly programmed, for tasks like prediction and classification.
- Statistical analysis: Using statistical methods to understand data patterns, identify relationships, and draw conclusions.
- Programming and tools: Using programming languages like Python and SQL, along with other tools, to manipulate, analyze, and visualize data
- This role involves a wide range of tasks, including data cleaning, statistical analysis, and creating machine learning models, and requires skills in programming languages like Python or R, statistical knowledge, and proficiency with tools like SQL and Tableau.
- They translate business goals into data-driven questions, present findings to stakeholders, and help organizations make strategic decisions
- Predictive modeling: Build and tune machine learning models to forecast future outcomes and solve complex problems.
- Machine learning: Knowledge and experience with machine learning algorithms.
- Database tools: Skill in using tools like SQL for data querying.
- Classic data science involves using a blend of technical skills, such as statistics, programming (like Python and SQL), and machine learning, to extract valuable insights and make predictions from data
Only Immediate joiner can apply. who can join in Nov 2025
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