Job
Description
Experience: 5 to 10 Years Must Have Experience with tools like Hightouch, Segment, mParticle, Treasure Data, Amperity, Simon data, or Salesforce CDP Experience in CDP implementation and marketing analytics Experience in Python, SQL and AI/ML Frameworks Experience in Azure Data Factory, Databricks, Synapse, Snowflake Experience deploying GenAI applications 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. Hands-on 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 excited to welcome a highly skilled CDP & Marketing Analytics Specialist to join our dynamic digital transformation team. The ideal candidate will possess hands-on experience with Customer Data Platforms (CDPs) and exhibit a deep understanding of customer data ingestion, real-time data pipelines, and AI-driven marketing strategies. You will play a pivotal role in driving data-driven decision-making and enabling 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). Skills: azure,genai applications,ai/ml frameworks,hightouch,treasure data,amperity,mparticle,azure data factory,marketing analytics,salesforce cdp,synapse,databricks,spacy,segment,transformers,analytics,cdp,nlp techniques,python,platforms,snowflake,ml,sql,customer data,nltk,simon data Show more Show less
