Our Company:

At Teradata, we believe that people thrive when empowered with better information. Teradata Autonomous Knowledge Platform activates enterprise intelligence by unifying data, knowledge and business context to achieve tangible outcomes. With Teradata, organizations can provide agents with full context for impact when it matters. Our solution lets businesses connect and scale on premises, in the cloud, or through a hybrid approach. Teradata delivers real business value with AI.

Who You’ll Work With

The individual will report to the manager of the Go To Market Insights and Analytics team. The individual will primarily support the Marketing team but must work cross-functionally across Field Sales, Sales Ops, Product Management, Finance, and others.

What You’ll Do

Collect and analyze marketing data including web analytics, event data, attribution data, and campaign data through quantitative and qualitative mechanisms to inform strategic decisions
Translate complex marketing and web analytics data into explicit,



actionable recommendations that improve marketing performance, customer experience, pipeline generation, and conversion outcomes.
Develop and maintain scalable data pipelines and feature engineering workflows to support model development, with a focus on web analytics data sources (Celebrus, Google Analytics)
Design and own multi-touch attribution (MTA) models to quantify marketing's contribution to pipeline and revenue including sourced vs. influenced deal analysis across GTM, Marketing, and Partner channels
Apply data science techniques (e. g. , statistical modeling, machine learning) to improve attribution methodology, identify high-performing segments, and predict future pipeline contribution from marketing activities
Design and conduct experiments (A/B testing, hypothesis testing) to validate findings and drive data-driven decisions for marketing stakeholders
Collaborate with the data warehouse team to provide strategy and assist with building n

📌 Staff Data Scientist (India)
🏢 Teradata
📍 India