Job Description
Description We are seeking a driven and creative Data Scientist with a minimum of 3 years of experience in a data science or machine learning role, who will be instrumental in building predictive models, testing hypotheses, and providing statistically sound insights that enhance our lead generation capabilities. The Data Scientist will be part of our analytics team, working closely with IT, marketing, media buying and CRO teams to transform raw data into actionable insights, whether that means building real-time scoring models, investigating campaign performance, or helping the business distinguish signal from noise when making decisions. The ideal candidate is someone who thrives on solving ambiguous problems, brings strong statistical intuition alongside machine learning skills, and can serve as a trusted analytical partner to stakeholders across the business. They're as comfortable building production ML pipelines as they are answering a media buyer's question about whether a source is actually underperforming or just experiencing variance. Experience in digital marketing, lead generation, or ad-tech is highly desirable. Primary Responsibilities Leverage agentic AI-assisted development tools throughout the workflow, from exploratory analysis and feature engineering to model development and pipeline building, to accelerate iteration speed while maintaining rigor and code quality Design, develop, and deploy machine learning models to segment and score landing page visitors based on intent and lead quality, using behavioral signals such as scroll depth, click patterns, session duration, and form engagement. Engineer predictive features from raw user behavior data to improve model accuracy and business relevance. Build and maintain real-time scoring pipelines that enable dynamic postback signals to ad networks, improving campaign optimization speed and efficiency. Collaborate with marketing and analytics teams to define quality/intent tiers and translate business log
