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Mid-level Data Scientist role in Hyderabad with common skillset and broad requirements increases candidate competition.
Core data science skills transferable across industries, though customer-analytics experience favors retail/e-commerce.
Explicit 3+ years plus mandatory Python, SQL, and ML competency enforce strict candidate filters.
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Develop and deploy machine learning models to segment customers and estimate transitions across value segments.
Build Customer Lifetime Value (CLV) and behavioral models to analyze and predict customer value and behaviors.
Translate complex business and marketing questions into data science solutions and communicate findings to diverse stakeholders.
3+ years of hands-on Data Science / Machine Learning experience.
Proficient in Python and SQL with experience handling large datasets.
Experience applying machine learning models to business problems including customer segmentation, value modeling, or churn modeling.
Strong understanding of predictive modeling, feature engineering, statistical analysis, and customer analytics.
Experienced in customer/behavioral analytics with skills in causal modeling, A/B testing, and next-best-action frameworks.
Ability to link analytical insights directly to measurable business outcomes and communicate effectively to stakeholders.
Comfortable working in evolving, ambiguous client environments requiring proactive problem identification and solution adaptation.