Senior Data Scientist
Location: Bengaluru, India
Department: MADTECH.AI
Experience: 4+ years
Skills: Marketing Analytics Frameworks, MS SQL, Generative AI, Statistics, Marketing Mix Modeling (MMM), AWS, Data Science & Modeling, Natural Language Processing (NLP), Python
- Analyze large-scale media, marketing, and audience datasets to generate actionable insights and optimize campaign performance.
- Build and deploy predictive models and advanced analytics solutions including propensity modeling, segmentation, attribution, and marketing mix models.
- Work with Generative AI, LLMs, and NLP techniques to develop intelligent analytics solutions.
- Design and manage data pipelines, analytics frameworks, and scalable data architectures using modern data platforms.
- Develop dashboards, visualizations, and reporting solutions to monitor campaign performance and identify optimization opportunities.
- Collaborate with product, engineering, trading, and analytics teams to design innovative data-driven marketing solutions.
- Analyze audience segments, bid behavior, pricing trends, inventory performance, and anomalous trading patterns.
- Ensure data quality, reliability, and scalability across multiple data sources and systems.
- 4+ years of experience in data science, predictive analytics, or marketing analytics.
- Strong expertise in statistics, machine learning, and data modeling.
- Hands-on experience with Python/R, SQL, and ML libraries (scikit-learn, Spark, etc.).
- Experience working with large datasets, cloud platforms, and distributed data systems (AWS, Hadoop, Spark, etc.).
- Knowledge of digital marketing, audience analytics, attribution modeling, or programmatic advertising ecosystems is highly preferred.
- Experience with Generative AI, Large Language Models, or NLP is strongly preferred.
- Strong communication skills and ability to collaborate with global teams.
- Experience with DSPs, DMPs, SSPs, or marketing technology platforms.
- Exposure to MMM (Marketing Mix Modeling), MTA (Multi-Touch Attribution), or RFM analysis.
- Experience with data visualization tools and analytics dashboards.
- Bachelor’s / Master’s in Statistics, Computer Science, Engineering, Mathematics, or related fields.
- Experience in digital advertising, media analytics, or marketing technology is a plus.
- Work on cutting-edge AI and data science problems in marketing intelligence.
- Collaborate with global teams and leading media platforms.
- Opportunity to build scalable AI-driven marketing solutions used by global brands.
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