Senior Market Mix Modeling Lead
4 days ago
About Quantzig:
As a rapidly growing global analytics and advisory firm with offices in the US, UK, Canada, China, and India, we have assisted our clients across the globe with end-to-end advanced analytics, visual storyboarding, Machine Learning and data engineering solutions implementation for prudent decision making. We are built and operated by high-performance champions who take ownership of entire projects from start to finish, help build great teams with excellent work ethic and drive to learn, and are passionate about our growth story.
Key Responsibilities
We are seeking an experienced Senior Market Mix Modeling Lead to lead the design and development of advanced Market Mix Models (MMM) using Bayesian frameworks. Your expertise will be crucial in building efficient and scalable probabilistic modeling tools to support MMM, integrating econometric principles and advanced statistical techniques such as hierarchical modeling, time-series analysis, and causal inference to improve MMM accuracy. You will also explore emerging methodologies like multi-touch attribution (MTA) and incrementality testing to complement MMM, and design and deploy automated MMM pipelines using Python and cloud platforms such as AWS, Azure, or GCP.
- Design and develop advanced Market Mix Models (MMM) using Bayesian frameworks
- Build efficient and scalable probabilistic modeling tools to support MMM
- Integrate econometric principles and advanced statistical techniques to improve MMM accuracy
- Explore emerging methodologies to complement MMM
- Design and deploy automated MMM pipelines using Python and cloud platforms
Technical Skills:
We require strong technical skills including expert-level Python skills with libraries such as PyMC3/PyMC4, NumPy, pandas, SciPy, Matplotlib, Plotly, and Seaborn. Additionally, you should have deep expertise in probabilistic programming and Bayesian frameworks, experience with libraries such as Stan, TensorFlow Probability is a plus. Proficiency in tools such as Google Meridian/LightWeightMMM, Uber Orbit, Bambi, and custom Bayesian implementations is also necessary. A strong grasp of econometric modeling, time-series analysis, causal inference, and hierarchical/multi-level modeling is essential. Advanced knowledge of media attribution, channel optimization, and marketing KPIs is required. Hands-on experience with cloud platforms such as AWS (S3, Lambda, SageMaker), Azure, or GCP for scalable deployments is a plus.
Preferred Qualifications:
- 4-6 years of experience in Market Mix Modelling or marketing analytics
- Advanced degree in Statistics, Data Science, Economics, Computer Science, or a related field
- Immediate Joiners are Preferred or Maximum 15 days
Estimated Salary: $120,000 - $180,000 per year
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