Key Responsibilities: Work across range of Analytical Solutions that includes Implementation, Testing, Validation, Documentation, Monitoring, and Reporting. Extracting large data from various data sources using multiple tools such as Python/ Pyspark /Hadoop/ SQL/ etc. , to perform multiple analysis. Creating data pipelines, performing model scoring, and validating model results. Utilize custom built automated frameworks for all deliverables. Work on MLOps frameworks to deploy, monitor and validate ML models in real time. Work with multiple teams such as Data Supply, ML Engineers, Technology to implement analytical solutions and models. Key Skills:
2 to 4 years of relevant experience in Data Analytics / Data Science roles. Strong programming skill in tools such as Pyspark, Python, SQL to manipulate data and create deployable production code. Knowledge of Python packages and tools. Sound Knowledge and exposure to application of Statistical / Machine Learning Techniques. Experience in building and optimizing data pipelines, architectures and data sets. Ability to interpret and translate data into meaningful business insights. Excellent verbal, written communication and presentation skills.
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