Remote Data Scientist - MMM

Description:

• BLEND360 is seeking a highly skilled Data Scientist/Analyst with expertise in Media Mix Modeling (MMM) to join their dynamic analytics team.
• The role involves developing and implementing Media Mix Models to optimize marketing spend across various channels such as TV, digital, radio, and print.
• The candidate will analyze historical data to assess the impact of marketing efforts and the effectiveness of different media channels.
• Collaboration with marketing and business teams is essential to translate business objectives into quantitative analyses and actionable insights.
• The position requires building predictive models to forecast the impact of future marketing activities and recommending budget allocation.
• The Data Scientist will present complex findings clearly and concisely to both technical and non-technical stakeholders.
• Deep-dive analyses of marketing campaigns and customer data will be performed to identify trends, opportunities, and areas for improvement.
• Ensuring data integrity, accuracy, and consistency in all analyses and models is a key responsibility.
• The candidate must stay updated with the latest trends in media mix modeling, marketing analytics, and data science.
• Collaboration with cross-functional teams, including Data Engineering, Marketing, and Business Intelligence, is necessary to ensure seamless data flow and integration.
• Documentation for all models, methodologies, and analysis processes must be created and maintained.

Requirements:

• A Bachelor’s or Master’s degree in Data Science, Statistics, Economics, Mathematics, or a related field is required.
• The candidate must have proven experience of 3+ years working in Media Mix Modeling (MMM) and/or marketing analytics.
• Strong proficiency in statistical modeling techniques such as regression analysis and time-series modeling is necessary.
• Hands-on experience with tools and technologies including Python, R, SQL, and data visualization platforms like Tableau or Power BI is required.
• Familiarity with marketing data sources such as Nielsen, IRI, social media data, and CRM is essential.
• Excellent problem-solving skills and a strong analytical mindset are required.
• The ability to translate complex data into actionable insights and recommendations for business stakeholders is necessary.
• Strong communication skills are essential for presenting findings to both technical and non-technical audiences.
• Experience in a fast-paced, data-driven environment is required.
• Familiarity with machine learning techniques and frameworks is a plus.

Preferred Qualifications:

• Experience working with large datasets and cloud-based data platforms such as AWS, Azure, or Google Cloud is preferred.
• Knowledge of marketing attribution models, customer segmentation, and lifetime value (LTV) analysis is advantageous.
• Experience in running A/B tests and controlled experiments is a plus.
• Prior experience in a consulting or marketing agency environment is preferred.

Benefits:

• Employees can work remotely, providing flexibility in work arrangements.
• The company is an award-winning organization, offering opportunities to work on innovative projects.
• Employees will be part of a passionate team that is revolutionizing the world of Data Science.
• The role offers the chance to work with Fortune 500 clients, enhancing professional experience and exposure.
• Opportunities for professional growth and development in a growing company focused on advanced analytics, data, and technology.