Manager Data Scientist Media Mix Modelling (MMM)

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 :

• Masters 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.
• Masters 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.

Remote Work :

No

Employment Type :

Full-time