Senior Data Scientist Media Mix Modeling (MMM)

We are seeking a highly skilled Data Scientist/Analyst with expertise in Media Mix Modeling (MMM) to join our dynamic analytics team. The ideal candidate will play a critical role in providing actionable insights and optimizing marketing spend across various channels by leveraging statistical models along with Generative AI bayesian modeling and pricing analytics. 

In this role you will collaborate closely with clients to design and implement MMM next-generation spend optimization solutions and enhance decision-making with data driven techniques.

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.
• Build predictive models to forecast the impact of future marketing activities and recommend budget allocation.
• Perform deep-dive analyses of marketing campaigns and customer data to identify trends opportunities and areas for improvement.
• Analyze pricing elasticity to understand customer behavior and forecast business impact.
• Build fine-tune and deploy Generative AI/LLM-based models (e.g. for scenario simulation automated insights or decision support).
• Continuously explore new GenAI and ML techniques to enhance solution accuracy scalability and automation.
• 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.).
• Strong foundation in Generative AI with experience in LLM fine-tuning embeddings or workflow orchestration.
• 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.

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.

Additional Information :

What do you get in return

• Competitive Salary: Your skills and contributions are highly valued here and we make sure your salary reflects that rewarding you fairly for the knowledge and experience you bring to the table.
• Dynamic Career Growth: Our vibrant environment offers you the opportunity to grow rapidly providing the right tools mentorship and experiences to fast-track your career.
• Idea Tanks: Innovation lives here. Our Idea Tanks are your playground to pitch experiment and collaborate on ideas that can shape the future.
• Growth Chats: Dive into our casual Growth Chats where you can learn from the best whether its over lunch or during a laid-back session with peers its the perfect space to grow your skills.
• Snack Zone: Stay fueled and inspired! In our Snack Zone youll find a variety of snacks to keep your energy high and ideas flowing.
• Recognition & Rewards: We believe great work deserves to be recognized. Expect regular Hive-Fives shoutouts and the chance to see your ideas come to life as part of our reward program.
• Fuel Your Growth Journey with Certifications: Were all about your growth groove! Level up your skills with our support as we cover the cost of your certifications.

Remote Work :

No

Employment Type :

Full-time