Quantzig | Data Scientist | india
3 weeks ago
About Quantzig:
Quantzig is a 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 a rapidly growing organization that is built and operated by high-performance champions If you have what it takes to be the champion with business and functional skills to take ownership of an entire project end-to-end, help build a team with great work ethic and a drive to learn, you are the one we’re looking for. The clients love us for our solutioning capability, our enthusiasm and we expect you to be a part of our growth story.
Find out more about the company:
Key Responsibilities
- Lead the design and development of advanced Market Mix Models (MMM) using Bayesian frameworks.
- Build efficient and scalable probabilistic modelling tools to support MMM.
- Integrate econometric principles and advanced statistical techniques (e.g., hierarchical modelling, time-series analysis, causal inference) to improve MMM accuracy.
- Explore emerging methodologies like multi-touch attribution (MTA) and incrementality testing to complement MMM.
- Design and deploy automated MMM pipelines using Python and cloud platforms (e.g., AWS, Azure, or GCP) – Good to Have
Technical Skills:
- Programming & Libraries: Expert-level Python skills (e.g., PyMC3/PyMC4, NumPy, pandas, SciPy, Matplotlib, Plotly, Seaborn);
- Bayesian Modelling: Deep expertise in probabilistic programming and Bayesian frameworks; experience with libraries like Stan, TensorFlow Probability, is a plus.
- MMM Tools: Proficient in tools such as Google Meridian/LightWeightMMM , Uber Orbit , Bambi , and custom Bayesian implementations.
- Econometrics & Statistics: Strong grasp of econometric modeling, time-series analysis, causal inference, and hierarchical/multi-level modelling.
- Marketing Analytics: Advanced knowledge of media attribution, channel optimization, and marketing KPIs
- Cloud Platforms (Good to Have) : Hands-on experience with AWS (S3, Lambda, SageMaker), Azure, or GCP for scalable deployments.
Preferred Qualifications:
- 4-6 years of experience in Market Mix Modelling or marketing analytics, with a proven track record of delivering high-impact projects.
- Advanced degree (master’s or Ph.D.) in Statistics, Data Science, Economics, Computer Science, or a related field.
- Immediate Joiners are Preferred or Maximum 15days
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