Key Responsibilities : - Develop and implement Media Mix Models to optimize marketing spend across different channels (e.g., TV, digital, radio, print, etc.).- Analyze historical data to understand the impact of marketing efforts and determine the effectiveness of different media channels.- Collaborate with marketing and business teams to translate business objectives into quantitative analyses and actionable insights.- Build predictive models to forecast the impact of future marketing activities and recommend budget allocation.- Present and communicate complex findings in a clear, concise, and actionable manner to both technical and non-technical stakeholders.- Perform deep-dive analyses of marketing campaigns and customer data to identify trends, opportunities, and areas for improvement.- Ensure data integrity, accuracy, and consistency in all analyses and models.- Stay up-to-date with the latest trends and advancements in media mix modeling, marketing analytics, and data science.- Collaborate with cross-functional teams including Data Engineering, Marketing, and Business Intelligence to ensure seamless data flow and integration.- Create and maintain documentation for all models, methodologies, and analysis processes.Qualifications : - Bachelors or Masters degree in Data Science, Statistics, Economics, Mathematics,



or a related field.- Proven experience (4+ years) working in Media Mix Modeling (MMM) and/or marketing analytics.- Strong proficiency in statistical modeling techniques (e.g., regression analysis, time-series modeling) and data analysis.- Hands-on experience with tools and technologies such as Python, R, SQL, and data visualization platforms (e.g., Tableau, Power BI).- Familiarity with marketing data sources (e.g., Nielsen, IRI, social media data, CRM, etc.).- Excellent problem-solving skills and a strong analytical mindset.- Ability to translate complex data into actionable insights and recommendations for business stakeholders.- Strong communication skills with the ability to present findings to both technical and non-technical audiences.- Experience working in a fast-paced, data-driven workplace.- Familiarity with machine learning techniques and frameworks is a plus.Preferred Qualifications : - Experience working with large datasets and cloud-based data platforms (e.g., AWS, Azure, Google Cloud).- Knowledge of marketing attribution models, customer segmentation, and lifetime value (LTV) analysis.- Experience in running A/B tests and controlled experiments.- Prior experience in a consulting or marketing agency environment is a plus. (ref:hirist.tech)

📌 Blend360 - Senior Data Scientist (Hyderabad)
🏢 BLEND360 INDIA PRIVATE
📍 Hyderabad