Senior Data Scientist - AI/ML Solution

As a Senior Data Scientist for Customer Intelligence & AI in Noida, your role will involve utilizing your expertise in customer behavior analytics, recommendation systems, personalization, and AI/ML solutions. You will work with large-scale clickstream and event-level data to develop predictive models and AI-driven customer experiences. Key Responsibilities: - Build ML models for churn prediction, LTV, propensity, next-best-action, and customer segmentation. - Develop recommendation and personalization systems. - Utilize clickstream and behavioral analytics with large-scale event data. - Create and optimize AI/GenAI-powered solutions and customer intelligence models. - Collaborate with Product, Engineering, and ML teams for model deployment and optimization. - Design A/B tests and analyze business impact using statistical techniques. Required Skills: - Strong proficiency in Python, SQL, PySpark, Pandas, Scikit-learn. - Hands-on experience with AWS technologies such as S3, Glue, EMR, Redshift, SageMaker, and Kinesis. - Previous work involving clickstream/event data and recommendation systems. - Knowledge of Machine Learning, AI/LLMs, and personalization frameworks. - Comprehensive understanding of experimentation, analytics, and customer behavior modeling. Nice to Have: - Experience with MLOps and model monitoring. - Exposure to GenAI/LLMs, LangChain, RAG, or Bedrock. - Domain experience in E-commerce, Fintech, SaaS, Media, or Gaming. Qualifications: - Bachelors or Masters degree in Computer Science, Statistics, Mathematics, Engineering, or related fields. - 48 years of Data Science experience with a minimum of 3 years in customer/behavioral analytics. As a Senior Data Scientist for Customer Intelligence & AI in Noida, your role will involve utilizing your expertise in customer behavior analytics, recommendation systems, personalization, and AI/ML solutions. You will work with large-scale clickstream and event-level data to develop predictive models and AI-driven customer experiences. Key Responsibilities: - Build ML models for churn prediction, LTV, propensity, next-best-action, and customer segmentation. - Develop recommendation and personalization systems. - Utilize clickstream and behavioral analytics with large-scale event data. - Create and optimize AI/GenAI-powered solutions and customer intelligence models. - Collaborate with Product, Engineering, and ML teams for model deployment and optimization. - Design A/B tests and analyze business impact using statistical techniques. Required Skills: - Strong proficiency in Python, SQL, PySpark, Pandas, Scikit-learn. - Hands-on experience with AWS technologies such as S3, Glue, EMR, Redshift, SageMaker, and Kinesis. - Previous work involving clickstream/event data and recommendation systems. - Knowledge of Machine Learning, AI/LLMs, and personalization frameworks. - Comprehensive understanding of experimentation, analytics, and customer behavior modeling. Nice to Have: - Experience with MLOps and model monitoring. - Exposure to GenAI/LLMs, LangChain, RAG, or Bedrock. - Domain experience in E-commerce, Fintech, SaaS, Media, or Gaming. Qualifications: - Bachelors or Masters degree in Computer Science, Statistics, Mathematics, Engineering, or related fields. - 48 years of Data Science experience with a minimum of 3 years in customer/behavioral analytics.