Senior Data Scientist

Job Description

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.

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.

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 work from office role (No Hybrid/ Work from Home available)

Required Qualification

Master of Engineering - Master of Technology (M.E./M.Tech.) ,

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Please look for early joiners. (Max, 30 days)

This is 5 days work from office role

Job Type: Full-time

Pay: ₹2,034,026.46 - ₹3,048,035.09 per year

Education:

• Master's (Preferred)

Experience:

• SQL: 6 years (Required)
• AWS: 6 years (Required)
• azure: 6 years (Required)
• Fusion 360: 6 years (Preferred)
• Big data: 6 years (Required)

Language:

• English (Required)

Work Location: In person