Responsibilities:

• Technical Skills :
• Advanced Statistics and Machine Learning: Mastery in statistical analysis, predictive modelling, and machine learning algorithms. Experience with supervised and unsupervised learning and understanding of advanced concepts like reinforcement learning and deep learning.
• Programming Languages: Proficiency in Python and R for statistical analysis, data visualization, machine learning, and data manipulation. Familiarity with SQL for database management and querying.
• Data Management: Experience in data cleaning, pre-processing, and ETL processes. Knowledge of big data technologies like Hadoop, Spark, and Hive could also be essential.
• Tools and Platforms: Proficiency in data science tools and libraries like Pandas, NumPy, Scikit-learn, TensorFlow, Pytorch, etc. Experience with cloud platforms like AWS, Google Cloud, or Azure