Proficiency in Python or R for data analysis and modeling.
Strong knowledge of SQL and working with relational databases.
"Experience with machine learning algorithms and libraries (e.g., scikit-learn, TensorFlow, XGBoost etc).
Experience in Forecasting will be added advantage"
Solid understanding of statistics, probability, and hypothesis testing.
Experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau, Power BI).
Experience with big data tools (e.g., Spark, Hadoop).
Knowledge of deep learning frameworks (e.g., PyTorch, TensorFlow).
Familiarity with cloud platforms like AWS, GCP, or Azure.
Experience in MLOP's and CI/CD work flow
Expeirence in developing end to end pipeline in any of cloud platform (AWS,Azure etc.)
Base Salary Range: $80,000 - $110,000 per annum