Back
Mid-level data scientist role in metro with broad skills and known brand drives high competition.
Highly domain-specific marketing analytics and econometrics skills limit cross-industry transferability.
Explicit 2–5 years plus mandatory MMM, econometrics, and specific tooling increases filter strictness.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Own the development, maintenance, and enhancement of Marketing Mix Models (MMM) across multiple channels to quantify media effectiveness and optimize marketing investments.
Build advanced marketing analytics models including attribution, propensity, segmentation, pricing, and forecasting to drive business and commercial performance improvements.
Leverage AI-enabled analytics tools and cloud technologies to automate insights generation, build scalable analytics workflows, and translate complex analyses into executive-level strategic recommendations.
Bachelor’s or Master’s degree in Statistics, Economics, Mathematics, Engineering, Computer Science, Data Science, or related quantitative field.
2-5 years of experience specifically in marketing analytics, econometrics, commercial analytics, or applied data science with hands-on MMM experience.
Strong proficiency in Python or R, SQL, and familiarity with libraries like PyMC, Stan, statsmodels, scikit-learn, and machine learning frameworks such as TensorFlow or PyTorch.
Experience with cloud platforms (AWS, GCP, or Azure) and BI/visualization tools (Power BI, Tableau, Looker, or Streamlit). Location requirement: Bangalore.
Experienced in integrating econometric and AI-enabled analytics to optimize media spend and drive measurable marketing ROI in consumer or retail domains.
Capable of translating complex statistical analyses into clear business insights and strategic recommendations for senior stakeholders.
Comfortable working with large datasets in fast-paced, ambiguous environments and building reusable, scalable analytics products or workflows.