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Data Scientist @ Blend360 India

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 Data Scientist

Job Description

Project Overview: Media Mix Optimization (MMO)
Our MMO platform is an in-house initiative designed to empower clients with data-driven decision-making in marketing strategy. By applying Bayesian and frequentist approaches to media mix modeling, we are able to quantify channel-level ROI, measure incrementality, and simulate outcomes under varying spend scenarios.
Key components of the project include:
  • Data Integration: Combining client first-party, third-party, and campaign-level data across digital, offline, and emerging channels into a unified modeling framework.
  • Model Development: Building and validating media mix models (MMM) using advanced statistical and machine learning techniques such as hierarchical Bayesian regression, regularized regression (Ridge/Lasso), and time-series modeling.
  • Scenario Simulation: Enabling stakeholders to forecast outcomes under different budget allocations through simulation and optimization algorithms.
  • Deployment & Visualization: Using Streamlit to build interactive, client-facing dashboards for model exploration, scenario planning, and actionable recommendation delivery.
  • Scalability: Engineering the system to support multiple clients across industries with varying data volumes, refresh cycles, and modeling complexities.
    Responsibilities
  • Develop, validate, and maintain media mix models to evaluate cross-channel marketing effectiveness and return on investment.
  • Engineer and optimize end-to-end data pipelines for ingesting, cleaning, and structuring large, heterogeneous datasets from multiple marketing and business sources.
  • Design, build, and deploy Streamlit-based interactive dashboards and applications for scenario testing, optimization, and reporting.
  • Conduct exploratory data analysis (EDA) and advanced feature engineering to identify drivers of performance.
  • Apply Bayesian methods, regularization, and time-series analysis to improve model accuracy, stability, and interpretability.
  • Implement optimization and scenario-planning algorithms to recommend budget allocation strategies that maximize business outcomes.
  • Collaborate closely with product, engineering, and client teams to align technical solutions with business objectives.
  • Present insights and recommendations to senior stakeholders in both technical and non- technical language.
  • Stay current with emerging tools, techniques, and best practices in media mix modeling, causal inference, and marketing science.
  • Bachelor s or Master s degree in Data Science, Statistics, Computer Science, Applied Mathematics, or related field.
  • Proven hands-on experience in media mix modeling, marketing analytics, or econometrics.

Job Classification

Industry: Industrial Automation
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Full Stack Data Scientist
Employement Type: Full time

Contact Details:

Company: Blend360 India
Location(s): Hyderabad

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Keyskills:   Computer science Data analysis Product engineering Simulation GCP Data processing Econometrics Marketing strategy SQL Python

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Blend360 India

BLEND360 is an award-winning, new breed Data Science Solutions Company focused on powering exceptional results to our Fortune 500/1000 clients and other organizations. We are a hyper growth company - born at the intersection of advanced analytics, data and technology. ...