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Sr Data Scientist - Customer Analytics

blend360

Hyderabad, IND

Full-time

Onsite

Discovered 2 weeks ago

PythonSQLMachine learningPredictive modelingFeature engineeringModel evaluation

Free

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Key skills for this role

PythonSQLMachine learning

Join a customer analytics engagement applying machine learning, statistical modeling, and customer analytics.

The work focuses on customer value, customer behavior, value transitions, causal analysis, and early-stage next-best-action recommendations.

The role requires technical data science skills, business judgment, curiosity, and a proactive approach to ambiguous problems.

Build models to classify customers into low-, medium-, and high-value segments and estimate transitions between these states.
Develop Customer Lifetime Value and customer value models for current and future customer value.
Analyze behavioral and transactional data to identify patterns, drivers, and relationship-building opportunities.
Apply causal modeling and experimentation to understand which behaviors or interventions influence customer value.
Contribute to a Next Best Action proof of concept for customer engagement and personalization.
Develop customer segmentation and behavioral models to identify meaningful customer groups.
Translate business and marketing questions into practical data science and machine learning approaches.
Perform exploratory data analysis, feature engineering, model development, validation, and interpretation.
Communicate findings and model outputs clearly to technical and non-technical stakeholders.

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