Manager Data Scientist - Media Mix Modelling (MMM)

Company Description

Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit www.blend360.com

Job Description

We are seeking a seasoned Lead Data Scientist with specialized expertise in Media Mix Modeling (MMM) to lead our efforts in optimizing marketing performance and providing strategic insights. The ideal candidate will bring a deep understanding of advanced statistical techniques, media modeling, and data-driven decision-making, while also mentoring junior team members and driving innovation within the analytics team.

Key Responsibilities:

• Lead the development and implementation of advanced Media Mix Models to inform and optimize marketing spend across multiple channels (e.g., TV, digital, print, radio).
• Design and execute complex statistical analyses to evaluate the effectiveness of marketing strategies and optimize resource allocation.
• Provide thought leadership in marketing analytics, guiding the business in leveraging data for optimal decision-making.
• Collaborate with marketing, finance, and business leaders to translate business objectives into detailed analytical projects and drive actionable insights.
• Create predictive models to simulate the impact of future marketing activities and provide recommendations for budget allocation and channel optimization.
• Mentor and guide junior data scientists and analysts, fostering a culture of continuous learning and innovation within the team.
• Stay ahead of the latest advancements in media mix modeling, marketing analytics, and data science methodologies, integrating new approaches and technologies where applicable.
• Communicate complex analytical findings to non-technical stakeholders through clear, concise reports and presentations.
• Collaborate with Data Engineering, Business Intelligence, and Marketing teams to ensure efficient data flows and integration of data sources.
• Ensure rigorous data governance, accuracy, and consistency in all modeling and analytical processes.
• Proactively identify opportunities to enhance media mix modeling capabilities and scale analytics solutions across the organization.

Qualifications

• Master’s or Ph.D. in Data Science, Statistics, Economics, Mathematics, or a related quantitative field.
• 8+ years of experience in Media Mix Modeling (MMM), marketing analytics, or related fields, with a track record of delivering impactful results.
• Strong expertise in statistical modeling techniques (e.g., regression, time-series, machine learning) and a deep understanding of their application to marketing data.
• Master’s or Ph.D. in Data Science, Statistics, Economics, Mathematics, or a related quantitative field.
• 5+ years of experience in Media Mix Modeling (MMM), marketing analytics, or related fields, with a track record of delivering impactful results.
• Strong expertise in statistical modeling techniques (e.g., regression, time-series, machine learning) and a deep understanding of their application to marketing data.
• Hands-on experience with advanced analytics tools such as Python, R, and SQL, along with proficiency in data visualization platforms (e.g., Tableau, Power BI).
• Extensive knowledge of marketing data sources (e.g., Nielsen, IRI, social media, CRM) and the ability to work with large, complex datasets.
• Proven ability to lead cross-functional projects, work with diverse stakeholders, and drive alignment across business functions.
• Strong communication and presentation skills, with the ability to distill complex analytical findings into actionable business insights.
• Experience mentoring and guiding junior data scientists/analysts, fostering a collaborative and innovative team culture.
• Experience working with cloud-based data platforms (e.g., AWS, Azure, Google Cloud) is a plus.
• Demonstrated ability to manage multiple projects simultaneously and deliver high-quality results on time.
• Hands-on experience with advanced analytics tools such as Python, R, and SQL, along with proficiency in data visualization platforms (e.g., Tableau, Power BI).
• Extensive knowledge of marketing data sources (e.g., Nielsen, IRI, social media, CRM) and the ability to work with large, complex datasets.
• Proven ability to lead cross-functional projects, work with diverse stakeholders, and drive alignment across business functions.
• Strong communication and presentation skills, with the ability to distill complex analytical findings into actionable business insights.
• Experience mentoring and guiding junior data scientists/analysts, fostering a collaborative and innovative team culture.
• Experience working with cloud-based data platforms (e.g., AWS, Azure, Google Cloud) is a plus.
• Demonstrated ability to manage multiple projects simultaneously and deliver high-quality results on time.

Preferred Qualifications:

• Experience in marketing attribution, customer segmentation, lifetime value (LTV) modeling, and marketing mix optimization.
• Familiarity with experimental design and A/B testing methodologies.
• Previous experience in consulting, marketing agencies, or a fast-paced industry with a focus on data-driven decision-making.
• Experience in leveraging machine learning techniques and frameworks to enhance media mix modeling and marketing analytics.

Additional Information

All your information will be kept confidential according to EEO guidelines.