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Description
Job Description About the Role: We are seeking a highly skilled CDP & Marketing Analytics Specialist to join our digital transformation team. The ideal candidate will have hands-on experience with Customer Data Platforms (CDPs) 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 Key Responsibilities: Design and implement end-to-end customer data ingestion strategies from diverse sources (CRM, web, mobile, social, PoS, etc.) into a unified CDP. Build and maintain real-time streaming data pipelines using tools such as Azure Data Factory, Databricks, Kafka , etc. Design and implement composable Customer Data Platforms (CDPs) leveraging modern data platforms such as Snowflake, Databricks, and similar technologies. Develop and deploy AI/ML-driven customer segmentation models (behavioral, demographic, predictive — e.g., high CLV, churn-risk clusters). Perform advanced analytics, including: Customer Lifetime Value (CLV) estimation Churn prediction and retention modeling Attribution analysis to evaluate campaign ROI Sentiment and intent analysis using NLP on social media, chat, and survey data Next Best Action (NBA) models to dynamically recommend personalized offers, content, or touchpoints across channels. Propensity model to forecast the likelihood of customer actions such as purchases, upgrades, or churn. Build and operationalize predictive models and apply GenAI techniques for: Automated customer service chatbots Content generation and personalization Synthetic data generation for simulation and testing Implement real-time decisioning engines and API-based integrations with advertising platforms (Google Ads, Meta, etc.) for dynamic campaign execution. Continuously monitor and tune models and pipelines for optimal performance and data freshness. Collaborate with cross-functional teams including marketing, data engineering, product, and analytics Qualifications: Bachelor's or master’s degree in computer science, Data Science, Marketing Analytics, or a related field. 5+ years of experience in CDP implementation and marketing analytics. Experience with tools like Hightouch, Segment, mParticle, Treasure Data, Amperity, Simon data, or Salesforce CDP (Experience in any one tool is mandatory). Exposure to MLOps practices and model monitoring pipelines. Strong proficiency in Python, SQL, and ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch). Experience with cloud platforms and tools like Azure Data Factory, Databricks, Synapse, Snowflake. Hands-on experience with NLP techniques and libraries (e.g., spaCy, NLTK, transformers). Experience deploying GenAI applications and understanding of LLM frameworks. Familiarity with campaign attribution models, marketing funnels, and retention strategies. Excellent analytical, communication, and stakeholder management skills. Preferred Skills: Prior experience in B2C/D2C industries (e.g., retail, travel & hospitality, e-commerce). Additional Information Required Qualification Bachelor of Computer Applications (B.C.A.) , Job Types: Full-time, Permanent Pay: ₹1,600,000.00 - ₹2,100,000.00 per year Application Question(s): Experience with tools like Hightouch, Segment, mParticle, Treasure Data, Amperity, Simon data, or Salesforce CDP.? ? Experience in Python, SQL and AI/ML Frameworks? (Please mention separately) ? Experience in Azure Data Factory, Databricks, Synapse, Snowflake? (Please specify the tools) ? Experience deploying GenAI applications? Experience: CDP implementation and marketing analytics: 6 years (Preferred) Work Location: In person
