- 10+ years of recent professional industry experience in Data Science/Machine Learning etc.
- Strong ability to code in at least any one language: Python/R/SAS.
- Prior experience or ability to deal with multiple vendors and extract the desired output from them in the given time frame.
- Excellent planning, organizational and relationship management skills
- Experience with common data science toolkits such as Jupyter, Spyder, PySpark etc.
- Experience with at least one deep learning framework such as TensorFlow, Keras, or PyTorch
- Knowledge of Machine Learning enhancing techniques of Feature Selection & Feature Engineering
- Understanding of various data warehousing systems such as RDBMS systems like SQL and Oracle including the new age dbases.
- Data Presentation skills and experience/knowledge of various visualization tools Eg. PowerBI and usage of NLP for visualization.
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