Senior Data Scientist
12 hours ago
Position: Senior Data Scientist, Hyderabad
Department: Information Technology | Role: Full-time | Experience: 4 to 8 Years | Number of Positions: 1 | Location: Hyderabad
Skillset:
CDP Implementations, AI/ML, Python, SQL, ML Framwork, Snowflake, AWS/Azure/GCP, Customer 360, Churn Prediction, GUI Integration, Excellent English Communication Skills
Job Description:
About the Role:
We 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 Responsibilities:
- 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.
- 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.
Additional Information:
Why Join Us?
• Work on modern data architecture at scale using cutting-edge Azure technologies.
• Collaborate with a dynamic and talented team of data professionals.
• Grow your leadership skills through hands-on project ownership and mentorship.
• Competitive compensation, flexible work options, and continuous learning culture.
Interview Rounds:
2 Technical rounds (virtual) + Compensation Discussion
This is 5-days/week Work From Office role (No Hybrid/ Work from Home available)
Required Qualification:
Master of Engineering - Master of Technology (M.E./M.Tech.) - Data Science / Statistics / Computer Science
With a fast-growing analytics, business intelligence, and automation company
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