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 and 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.
- 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 (6 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 environment.
- 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.
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