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As a data scientist you will be responsible for requirement analysis, data engineering tasks, development in Python, building data science solutions, preparing the documentation, model deployment & client interfacing.
Job Responsibility:
Requirement analysis
Data engineering tasks
Development in Python
Building data science solutions
Preparing the documentation
Model deployment
Client interfacing
Building Data Science based solution from scratch
Being engaged in the project from the initial phase to completion of solution development
Adherence to coding standards in CI/CD pipeline to streamline deployment to production
Existing project maintenance
Preparing documentation for requirements, solution, etc
Collaborating with internal and external stakeholders for project related activities including managing a small team
Project may involve being on-site at customer premise
Requirements:
Minimum 2.5 years experience of python development excluding internship projects
Good knowledge of any RDBMS like MySQL, Oracle, PostgreSQL
Understanding of MLOps concepts
Experience in ML projects involving techniques: Regression, Time Series, Clustering, Classification, Dimension Reduction, Anomaly detection with traditional ML approaches and DL approaches
Experience in statistics, probability distributions, A/B testing validation, univariate / multivariate analysis, hypothesis test for different purposes, data augmentation, etc
Exposure to Gen AI tools and enthusiastic about experimenting and having new ideas on what can be done