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.
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