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Known analytics employer, metro location and popular Data Scientist role increase competition moderately.
Core ML skills transfer across industries, but domain-specific experience (BFSI/CPG/healthcare) increases specificity.
Explicit seniority, mandatory ML skills, leadership and end-to-end experience create strict filtering.
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Lead end-to-end AI/ML projects including problem scoping, data gathering, modeling, and solution delivery.
Manage and mentor a team of Data Scientists while collaborating with stakeholders across the organization to apply data-driven business solutions.
Develop and implement advanced statistical and machine learning algorithms across various domains like customer segmentation, forecasting, and price optimization.
5.6 to 11 years of core experience in Data Science and Machine Learning projects.
Expert proficiency in at least one programming language: R or Python.
Experience in full data science lifecycle: problem scoping, exploratory data analysis, modeling, insights generation, visualization, and model monitoring.
Bachelor's or master's degree in Computer Science or related technical field (B.E/B.Tech/M.Tech) or equivalent.
Proven ability to independently own complex AI/ML projects and provide thought leadership in analytical solutions.
Experience managing a span of Data Scientists and strong stakeholder management skills.
Hands-on expertise in multiple ML algorithms (regression, Bayesian, tree-based, time series, deep learning) and comfort with cross-functional collaboration in fast-paced environments.