We are looking for a skilled Data Scientist with strong experience in marketing analytics, statistical modeling, econometrics, and data-driven decision-making.
Responsibilities:
- Develop predictive models, forecasting solutions, and statistical models
- Perform customer, marketing, survey, and business analytics
- Develop and analyze Marketing Mix Models (MMM) and Multi-Touch Attribution (MTA)
- Conduct A/B testing, incrementality measurement, geo experiments, and causal inference
- Build Bayesian models and analyze marketing performance, ROI, adstock, and saturation
- Work with data from Google Ads, Meta, LinkedIn, CRM, GA4, and other data sources
- Build dashboards and analytical applications using BI and visualization tools
- Clean, validate, integrate, and analyze large datasets
- Translate complex analytical findings into actionable business recommendations
Requirements:
- 5+ years of professional experience in Data Science, Marketing Analytics, Econometrics, Statistics, or a related field
- Bachelor’s/Master’s degree in Data Science, Statistics, Econometrics, Economics, Mathematics, Computer Science, or a related quantitative discipline
- Strong proficiency in Python and SQL
- Strong understanding of statistical modeling, predictive analytics, experimentation, and causal inference
- Practical experience with MMM, MTA, incrementality, or marketing measurement
- Experience with Bayesian methods, PyMC-Marketing, Google Meridian, or similar tools is preferred
- Experience working with marketing, customer, survey, CRM, and business datasets
- Strong analytical and problem-solving skills
- Ability to communicate complex analytical findings clearly to non-technical stakeholders