Customer Data Platform

2 weeks ago

Hyderabad, Telangana, India YO IT Group Full time ₹ 5,00,000 - ₹ 8,00,000 per year

Experience:
5 to 10 Years

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.

  • 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

Skills: amperity,sql,salesforce cdp,segment,mparticle,platforms,databricks,azure,ai/ml frameworks,hightouch,marketing analytics,marketing funnels,ml,analytics,customer data,synapse,snowflake,nltk,genai applications,campaign attribution models,simon data,transformers,retention strategies,spacy,cdp,python,treasure data,azure data factory,nlp techniques,mlops practices,mlops

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