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
