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Mid-level data scientist in Mumbai with generalist ML skills and common title drives high applicant density.
Classical ML, regression, and tabular data skills are highly transferable across industries.
Explicit 3+ years plus mandatory ML, statistics, and Python/scikit-learn stack enforces strict filters.
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Develop, train, and deploy machine learning and regression models to address business problems using structured/tabular data.
Perform data cleaning, preprocessing, feature engineering, and apply statistical techniques such as hypothesis testing and correlation analysis on datasets.
Collaborate with cross-functional teams to translate data insights into actionable business solutions and communicate findings effectively to technical and non-technical stakeholders.
Minimum 3 years of experience as a Data Scientist or in a similar role.
Strong expertise in classical machine learning algorithms and regression modeling.
Proficiency in Python and data science libraries (scikit-learn, pandas, NumPy).
Experience working with structured/tabular datasets and solid understanding of statistics including probability, statistical distributions, hypothesis testing, and correlation analysis.
Experienced working in collaborative, cross-functional team environments involving product, engineering, and business stakeholders.
Practically oriented with the ability to clearly communicate complex statistical and machine learning results to non-technical audiences.
Strong analytical skills focused on translating data patterns into actionable business recommendations.