The company is looking to leverage data analysis and modeling to solve business problems, likely involving forecasting and machine learning applications.
Requirements
- 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).
- 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).
Responsibilities
- 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 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).
- Experience in MLOP's and CI/CD work flow
Other
- Experience in Forecasting will be added advantage
- Familiarity with cloud platforms like AWS, GCP, or Azure.
- Expeirence in developing end to end pipeline in any of cloud platform (AWS,Azure etc.)
