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Job Summary
The Senior Marketing Data Scientist will develop and deploy marketing-focused analytical and machine learning solutions across People Inc. entertainment brands. This role sits at the intersection of customer analytics, experimentation, and growth strategy, partnering closely with Marketing, Product, and Editorial teams.
The ideal candidate has deep experience applying statistical modeling and machine learning to marketing problems, including customer segmentation, acquisition, engagement, retention, and customer LifeTime Value. You will own models and analyses that inform personalization, automated marketing, attribution, experimentation, and lifecycle optimization, translating complex customer behavior into actionable insights that drive measurable business outcomes.
Unlike traditional data science roles focused purely on modeling, this position requires a strong ability to:
Primary responsibilities:
Required Mandatory Skills:
Good to Have:
Designation: Senior Data Scientist, 1
Working Hours: 1:00 PM to 10:00 PM IST
Work Location: EcoWorld, Bengaluru
Job ID: 148449589
Skills:
Sql, Databricks, Natural Language Processing, Tensorflow, Tableau, Deep Learning, Power Bi, AWS, Pytorch, Python, Azure, Git, Spark, scikit-learn, machine learning frameworks, data pipeline development, R, LLM Agentic AI, DevOps practices, ETL processes
Skills:
Machine Learning, Data Management, Data Modeling, Power Bi, Tableau, Data Integration, Sql, Data Visualization, Python, Data Architecture Strategy, R, Applied Software Engineering for Data
Skills:
Pandas, Sklearn, Github, Numpy, AWS, Python, Azure, Gcp, Pytorch, LLMs, Transformers, monitoring logging and observability tools, Hugging Face, LLM evaluations, ML libraries, Monitoring, LangChain, RAG, CI CD pipelines, prompt engineering, automated testing strategies
Skills:
Machine Learning, Nlp, Databricks, Python, AWS, LangChain, embeddings, GenAI, LangGraph, encoders-decoder models, retrieval-based systems, transformer architectures, Amazon Bedrock
Skills:
containerization , Java, Unix, Hibernate, Maven, Design Patterns, Oracle Database, Data Structures, Pl Sql, Spring Boot, Rest Api, J2EE, Spring, Jenkins, Gradle, JUnit, Linux, Docker, Selenium, Azure, AWS, Active Directory
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