Senior Data Scientist

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:

1. 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.

1. 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