Senior Data Scientist

2 weeks ago

Hyderabad, Telangana, India hiringplug™ Full time
We are hiring for one of our US based client in HyderabadWe are seeking a highly skilled Senior Data Scientist to join our digital transformation team. The ideal candidate will have hands-on experience with model development and a deep understanding of customer data ingestion, real-time data pipelines, and AI-driven marketing strategies. You will be responsible for leveraging advanced analytics and machine learning to enable data-driven decision-making and hyper-personalized marketing at scale.This role blends analytical rigor with innovative model building and maintenance, ensuring both operational excellence and strategic customer growth.Key Responsibilities1. Model Development
• Design, build, and deploy machine learning models for segmentation, predictive analytics, prospect identification, targeting, personalization, Churn prediction & retention, campaign performance and other business use cases.
• Contribute to building models for various use cases such as Revenue Management System, Customer 360, etc.
• Apply statistical analysis and data visualization techniques to generate insights and communicate effectively to business stakeholders.
• Translate model insights into actionable marketing strategies that enhance ROI and customer experience.
• Collaborate with cross-functional teams including Martech, digital, and commercial teams to operationalize models into platforms and workflows.
• Establish monitoring, retraining, and governance processes to ensure sustained model accuracy and business value.2. Deep QA Model Validation
• Validate existing models applying end-to-end QA checks before sign-off.
• Assess data ingestion, schema integrity, feature engineering, and label quality for business alignment.
• Evaluate model predictions, performance metrics, drift monitoring, downstream outputs, and GUI integration .
• Document all findings, anomalies, and improvement opportunities.
• Support development of dashboards and reports to track validation progress, outcomes, and risks.
• Ensure every module is accurate, reliable, and business-aligned prior to deployment.Required Qualifications
• Master's degree in Data Science, Statistics, Computer Science, or related field.
• 4 to 6 years of experience in data science, model validation, and applied machine learning.
• Proven expertise in Python, SQL, and ML frameworks (scikit-learn, TensorFlow, PyTorch).
• Experience with QA and drift monitoring frameworks for ML models.
• Familiarity with big data platforms and cloud ecosystems such as Databricks, Spark, Snowflake/AWS/Azure/GCP.
• Strong communication skills to convey complex insights to both technical and business stakeholders.
• Experience leading junior data scientists.
• Detail-oriented with a structured approach to QA, documentation, reporting, and dashboarding.

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