Data Scientist

Technical Skills: o Proficiency in programming languages such as Python or R. o Strong knowledge of statistical principles and machine learning techniques (e.g., regression, classification, clustering, neural networks). o Experience with data manipulation and analysis using libraries such as pandas, NumPy, and SciPy. o Familiarity with data visualization tools (e.g., Matplotlib, Seaborn). o Experience with SQL and relational databases. o Knowledge of big data technologies (e.g., Hadoop, Spark) is a plus.Soft Skills: Excellent problem-solving abilities, strong communication skills, and the ability to work effectively in a team environment. Additional Skills (Preferred): o Experience with cloud platforms (e.g., AWS, Google Cloud, Azure). o Knowledge of natural language processing (NLP) techniques. o Familiarity with version control systems (e.g., Git). Qualification:Master's or Ph.D. degree in Data Science, Statistics, Computer Science, or a related field.

Created: 2024-11-02