Overview
Responsibilities:
● Lead the development of sophisticated customer science models including churn prediction, customer segmentation frameworks, and lifetime value (LTV) models
● Translate complex business problems into analytical solutions that address marketing use cases
● Oversee data pipeline development and optimization across cloud platforms
● Mentor and develop a team of data scientists, fostering a culture of innovation and excellence
● Collaborate with cross-functional teams to implement and measure the impact of data-driven strategies
● Establish best practices for model development, validation, and deployment
Qualifications:
● Minimum 6 years of experience building customer science models, particularly in churn modelling, segmentation frameworks, and LTV modelling
● Strong proficiency in Python for data manipulation, analysis, and model development
● Demonstrated experience working with cloud platforms including GCP and AWS
● Expert-level knowledge of big data technologies including Big Query and AWS Redshift
● Experience applying data science to marketing use cases and problems
● Excellent communication skills with the ability to explain complex concepts to non-technical stakeholders
● Bachelor's degree in a quantitative field (Computer Science, Statistics, Mathematics, or related)
Technical Skills:
● Experience with AWS EMR Studio
● Advanced degree (MS/PhD) in a quantitative discipline
● Experience leading data science teams
● Knowledge of ML-Ops practices and tools
● Understanding of the Indian market dynamics and customer behaviour
Soft Skills
● Strong analytical and problem-solving abilities
● Good communication and presentation skills
● Business acumen
● Collaborative team player
● Strong organizational skills
Job Type: Full-time
Pay: ₹1,800,000.00 - ₹2,200,000.00 per year
Benefits:
- Health insurance
- Leave encashment
- Life insurance
- Paid sick time
- Paid time off
- Provident Fund
Application Question(s):
- What is your Current CTC?
- What is your Expected CTC?
Experience:
- Data science: 5 years (Preferred)
Location:
- Mumbai, Maharashtra (Preferred)
Work Location: In person
Application Deadline: 27/07/2025
Expected Start Date: 18/08/2025