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Develop audience targeting models using LightGBM and other machine learning techniques, including customer segmentation, propensity modeling, and look-alike modeling on large-scale datasets to enable precision marketing and improve campaign performance.
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Build and maintain data pipelines and infrastructure required for these models.
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Apply hands-on expertise in model development and deployment in cloud environments, particularly GCP Vertex AI, leveraging statistical analysis, machine learning techniques, and a deep understanding of marketing data and platforms.
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Collaborate with the data science team to understand business goals, contribute to solution design, and support model development and implementation.
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Conduct Exploratory Data Analysis (EDA) to uncover insights, interpret patterns, and inform modeling decisions. This includes analyzing marketing performance,
customer engagement, and outcome data from multiple sources.
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Manage the full lifecycle of model development — from understanding business needs and creating solutions to deployment, consumption, and value realization.
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Ensure data quality through validation and maintain integrity throughout the modeling and analysis process.
Qualifications
Required Experience
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Proven experience in developing model-based marketing measurement solutions such as:
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Marketing Mix Modeling (MMM)
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Response modeling
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Forecasting
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Scenario planning
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Optimization in a marketing context.
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Solid understanding of marketing functions, platforms, tech stacks, and data.
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In-depth knowledge of the marketing measurement landscape and current trends.
Technical Skills
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Advanced expertise in statistical analysis and machine learning.
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Proficiency in Python and common ML libraries, including:
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Scik
📌 Data Scientist(MMM (Noida)
🏢 Topcoder
📍 Noida
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