DATA SCIENTIST (MMM)

Vrinda International; India; Remote; INR 4,000,000 - 6,500,000; Full time

Job summary

Vrinda International seeks a seasoned Data Scientist to lead advanced Marketing Mix Modeling (MMM) within the IT services space. You will quantify channel contributions, optimize ad spend, and drive data-informed decisions using Python, regression, Bayesian and hierarchical models.

Responsibilities include designing MMM frameworks, assessing Adstock effects, building MLOps pipelines, and delivering insightful visualizations with Matplotlib/Seaborn/Plotly to stakeholders.

Qualifications

• 7+ years of professional experience in data science, analytics, or a related quantitative field.
• Proven expertise in Marketing Mix Modeling (MMM) and its application in marketing ecosystems.
• Strong proficiency in statistical modeling: regression, Bayesian inference, hierarchical modeling.
• Advanced Python with Pandas, NumPy and Scikit-learn.
• Experience implementing Adstock transformations and calculating ROI/MROI.
• Experience building MLOps pipelines and model deployment.
• Excellent data visualization using Matplotlib, Seaborn, and Plotly.

Responsibilities

• Design and implement Marketing Mix Modeling frameworks to assess channel effectiveness.
• Analyze Adstock effects and compute channel-specific ROI/MROI metrics.
• Develop and run budget optimization scenarios to inform planning.
• Create interactive visualizations to communicate insights to stakeholders.
• Build, train, and validate statistical models (regression, Bayesian, hierarchical).
• Oversee end-to-end MLOps lifecycle for models including deployment and monitoring.

Skills

MMM

Statistical Modeling

Python

Pandas

NumPy

Scikit-learn

MLOps

Data Visualization

Adstock

ROI/MROI

Tools

Matplotlib

Seaborn

Plotly

Job description

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Job Description

Data Scientist (MMM)

Summary

We are seeking an experienced Data Scientist to lead the development and implementation of advanced Marketing Mix Modeling (MMM) strategies within the IT Services sector. In this pivotal role, you will leverage sophisticated statistical techniques and machine learning to quantify channel contributions, optimize advertising spend, and drive data-informed marketing decisions. This position is critical for enhancing return on investment (ROI) and maximizing marketing efficiency through rigorous scenario simulation and budget optimization.

Responsibilities

• Design and execute complex Marketing Mix Modeling frameworks to evaluate the effectiveness of various marketing channels.
  
• Analyze Adstock effects and calculate channel-specific contribution metrics, including Return on Marketing Investment (MROI).
  
• Develop and run incremental budget optimization scenarios to simulate potential outcomes and guide strategic financial planning.
  
• Create high-quality, interactive visualizations using libraries such as Matplotlib, Seaborn, and Plotly to communicate insights to stakeholders.
  
• Build, train, and validate robust statistical models, including regression, Bayesian, and hierarchical approaches, using Python, Pandas, NumPy, and Scikit-learn.
  
• Oversee the end-to-end lifecycle of machine learning models, ensuring seamless deployment, continuous monitoring, and maintenance through MLOps best practices.
  

Requirements

Requirements:

• Minimum of 7 years of professional experience in data science, analytics, or a related quantitative field.
  
• Proven expertise in Marketing Mix Modeling (MMM) and a deep understanding of its application in modern marketing ecosystems.
  
• Strong proficiency in statistical modeling, specifically in regression analysis, Bayesian inference, and hierarchical modeling techniques.
  
• Advanced technical skills in Python, including extensive experience with data manipulation libraries (Pandas, NumPy) and machine learning frameworks (Scikit-learn).
  
• Demonstrated ability to implement Adstock transformations and calculate channel-level ROI and MROI.
  
• Competence in building and managing MLOps pipelines for model deployment and performance monitoring.
  
• Exceptional data visualization capabilities using Matplotlib, Seaborn, and Plotly to translate complex data into actionable business intelligence.