Lead Data Scientist - Media Mix Modelling (mmm) Job in Blend360 India
Lead Data Scientist - Media Mix Modelling (mmm)
- Hyderabad, Telangana
- Not Disclosed
- Full-time
Lead Data Scientist Media Mix Modeling (MMM)
Location: Hyderabad, Telangana
Work Type: On-site, Full-time
Experience: 6+ Years
Company: Blend
About Blend:
Blend is a premier AI services provider committed to co-creating meaningful impact through data science, AI, and technology. We harness world-class talent and data-driven strategies to unlock innovation and value for our clients. Our mission is to empower bold visions by seamlessly aligning human expertise with artificial intelligence.
Job Summary:
We are seeking an experienced Lead Data Scientist with deep expertise in Media Mix Modeling (MMM) to optimize marketing spend and drive strategic insights across multiple media channels. You will leverage statistical modeling and data analytics to provide actionable recommendations that improve marketing effectiveness and business outcomes.
Key Responsibilities:
- Design, develop, and implement Media Mix Models to analyze and optimize marketing spend across channels such as TV, digital, radio, and print.
- Analyze historical marketing data to measure channel effectiveness and guide budget allocation decisions.
- Collaborate closely with marketing, business, and analytics teams to translate business goals into quantitative models and insights.
- Build predictive models to forecast the impact of marketing campaigns and recommend budget reallocation.
- Present complex analytical findings clearly and effectively to technical and non-technical stakeholders.
- Conduct detailed analyses of marketing campaigns and customer behavior to uncover trends, opportunities, and optimization areas.
- Ensure accuracy, consistency, and integrity in all data analyses and model outputs.
- Stay updated with the latest advances in MMM, marketing analytics, and data science methodologies.
- Work with cross-functional teams including Data Engineering and BI to ensure smooth data integration and workflow.
- Document methodologies, models, and analysis processes thoroughly.
Qualifications:
- Bachelor s or Master s degree in Data Science, Statistics, Economics, Mathematics, or a related discipline.
- Minimum 6 years experience in Media Mix Modeling (MMM) or marketing analytics roles.
- Strong expertise in statistical modeling methods, including regression analysis and time-series forecasting.
- Proficiency in programming languages and tools such as Python, R, SQL, and visualization platforms like Tableau or Power BI.
- Familiarity with marketing data sources such as Nielsen, IRI, social media analytics, and CRM datasets.
- Excellent analytical skills with the ability to translate data into actionable business insights.
- Strong communication skills for effective stakeholder engagement across technical and non-technical audiences.
- Experience working in fast-paced, data-driven environments.
- Knowledge of machine learning techniques and frameworks is a plus.
Preferred Qualifications:
- Experience handling large datasets and working with cloud platforms like AWS, Azure, or Google Cloud.
- Understanding of marketing attribution, customer segmentation, and lifetime value (LTV) models.
- Experience conducting A/B testing and controlled experiments.
- Background in consulting or marketing agency settings is advantageous.
Why Join Blend?
- Competitive Salary: Reflecting your skills and impact.
- Dynamic Career Growth: Fast-track your development with mentorship and challenging projects.
- Idea Tanks: Collaborate and innovate in our dedicated creativity spaces.
- Growth Chats: Informal knowledge-sharing sessions to fuel your learning.
- Snack Zone: Stay energized with a variety of refreshments.
- Recognition & Rewards: Regular acknowledgment of your contributions and ideas.
- Certification Support: Grow your skillset with company-supported certification programs.
Apply now to become a key player in Blend s analytics team and lead transformative marketing analytics projects.
Qualification : Bachelors or Masters degree in Data Science, Statistics, Economics, Mathematics, or a related field.

