VAYUZ Technologies
Data Scientist - Market Mix Modeling
- Compensation
- Not disclosed
- Location
- Bangalore; Karnataka
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- Not specified
- Category
- Data science
- Posted
Skills
Full description
Responsibilities :
- Build, calibrate, and refine Market Mix Models to measure the impact of marketing spend across channels (media, promotions, pricing, distribution).
- Translate MMM outputs into clear, client-facing insights - attribution, ROI by channel, budget optimization scenarios.
- Work closely with client business teams to understand marketing objectives and align model outputs to decision-making needs.
- Validate model assumptions, run simulations, and present scenario analyses (what-if, budget reallocation).
- Clean, transform, and QA large marketing and sales datasets for modelling readiness.
- Collaborate with internal analytics and consulting teams on deliverable packaging and storytelling.
Qualifications :
- Market Mix Modelling (MMM) : Hands-on model building experience - not just awareness.
- Exposure to Bayesian MMM or Robyn is a plus.
- Python : Proficient - data manipulation, modelling pipelines, visualization (pandas, statsmodels, matplotlib/seaborn).
- SQL : Comfortable pulling and transforming data independently.
- ML fundamentals : Regression, time-series, feature engineering - applied, not theoretical.
- Client/consulting exposure : Ability to explain model outputs to non-technical stakeholders; slide-ready communication.