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AI Data Scientist – Marketing Analytics

5 years

Bengaluru

Posted:1 week ago

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Job Description

Job ID
72891
Category
Enterprise Technology
Location
Bengaluru, India
Work Type
On-site

Lead the design, development, validation, and deployment of advanced statistical and machine learning models that power Marketing Mix Modeling (MMM), Multi-Touch Attribution (MTA), audience analytics, and first-party data initiatives, translating complex data into actionable insights that enable data-driven marketing and media investment decisions across the organization.

  • Develop and refine Multi-Touch Attribution (MTA) models to quantify the incremental impact of digital touchpoints across the customer journey.
  • Build audience analytics models (segmentation, propensity, lookalike, lifetime value, churn) leveraging first-party data from CRM, CDP, web analytics, and transaction systems.
  • Translate model outputs into clear insights, dashboards, and storytelling for marketing and media stakeholders, and influence business decisions.
  • Perform exploratory data analysis and feature engineering on marketing datasets from media platforms, ad servers, and CRM/CDP systems; define data requirements with data engineering teams.
  • Bachelor's or master's degree in data science, Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
  • 5+ years of experience in Data Science, Marketing Analytics, or related fields, with hands-on experience building statistical/ML models.
  • Python (pandas, scikit-learn, statsmodels; PyMC/Stan or open-source MMM libraries such as Robyn/Meridian/PyMC-Marketing preferred) and SQL
  • Statistical modeling: regression, time series, Bayesian methods
  • Machine learning: classification, clustering, forecasting, optimization
  • Cloud platforms: AWS, Azure, or GCP (GCP preferred)
  • Data visualization and BI tools (e.g., Looker, Power BI, Tableau)
  • Familiarity with data warehousing and data modeling concepts

Skills Required

Marketing Analytics Design Development Machine Learning Marketing Analytics CRM WEB Analytics Data Analysis Data Engineering Data Science Statistics Computer Science

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