• Citizen

• Full Time

• Direct Hire

• UG :- - Not Required

• PG :- - Not Required

• No of position :- ( 1 )

• Post :- 15th Nov 2022

Business Requirements

• Must be business Centric and think about the deliverable’s ROI
• Have an understanding of subscription-based fintech business models, investment products
• Should be well versed with data visualization to present the post-model results to Business stakeholders
• Ability to document the results in an intuitive manner for the stakeholders' understanding

Data science Requirements:

• Ability to understand and solve Data Quality Issues
• Having previously worked on building models related to recommender systems, Targeted Marketing campaign models for win-back campaigns
• Have an understanding of Model deployment Life Cycle and data engineering
• Have an understanding of building model re-training pipelines for Model and data versioning along with incorporating test cases within the ML pipeline (In-variance Testing, Pre-model testing, and Post model testing)
• Strong exposure to Machine Learning Algorithm usage and hyper-parameter tuning to optimize the model for deploying to production environments (GridSearch, K-fold Cross Validation)
• Have an understanding of real-time data retrieval for In-app events data analysis.

Tech Skills:

• Have a very good working knowledge of Pyspark/Python and SQL.
• Good to have an understanding of Git-related concepts, Github actions
• Good to have AWS components knowledge related to data engineering and model deployment
• Hand on experience in working on ML techniques such as clustering techniques, classification models, propensity models

Job Requirement

• Have a very good working knowledge of Pyspark/Python and SQL.
• Good to have an understanding of Git-related concepts, Github actions
• Good to have AWS components knowledge related to data engineering and model deployment
• Hand-on experience in working on ML techniques such as clustering techniques, classification models, propensity models