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Mid-level ML role in Bangalore at a known corporation with broad required skills increases applicant density.
Core ML/DL skills transfer across industries, though industrial domain knowledge is preferred.
Requires a Master's, 4 years' experience and specific ML/DL/cloud tooling, producing strict screening filters.
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Lead end-to-end data science projects including data gathering, analysis, modeling, and presenting actionable insights to stakeholders.
Develop, implement, and validate advanced machine learning and deep learning models such as asset failure prediction, defect detection via computer vision, and customer churn prediction.
Build and automate scalable data science tools, dashboards, and pipelines; manage multi-functional teams focused on solving growth challenges.
Master’s degree in Data Science, Computer Science, or related field.
Minimum 4 years experience as a Data Scientist or in a related role.
Proficiency in Python, R, SQL, and libraries like pandas and matplotlib; experience with machine learning, deep learning, and statistical modeling.
Experience with big data technologies such as Spark and cloud platforms AWS, Azure, or GCP; mandatory stakeholder management and technical presentation skills.
Experienced in applying data science techniques to business problems like churn reduction and revenue growth.
Capable of managing projects and coordinating with cross-functional teams and senior executives for solution delivery.
Skilled in developing and deploying production-ready data science tools while continuously experimenting and iterating on models and approaches.