Data Scientist

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, Linked In, 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