Senior Data Scientist

Top Tie : College + B2B

It is a go-to platform for marketing trailblazers with bold pipeline and ROI goals, offering killer insights, spot-on predictions, and actionable recommendations. The platform empowers modern demand generation teams to 3X their pipeline and confidently prove marketing ROI. Unlike legacy attribution solutions, RevSure combines full-funnel attribution with predictive intelligence and active recommendations, providing high-growth marketing teams the information they need to be more effective at every stage of the lead journey.

Role Description

The AI / ML and Data Science team at RevSure builds robust, scalable Predictive AI models to improve pipeline generation for B2B companies by providing AI-driven insights, predictions and recommendations.

You will work closely with the Product, Data, ML Engineering, and Customer Success teams to ensure successful product development and customer deployments.

Qualifications

• 4+ years of experience in advanced AI / ML and Data Science models for business applications related to Sales, Marketing, Customer and Operations
• Experience with developing and fine-tuning Generative AI models
• Worked with data from CRM, Marketing Automation, Campaign management systems
• Deep understanding of Machine Learning techniques such as XGBoost, SVMs, Random Forests, Markov Models, Bayesian, etc. in Python, Scikit-learn, PySpark, TensorFlow, etc.
• Experience applying ML to both Classification and Regression problems
• Understanding of how data extraction, ingestion, transformation, and pipelines are built and managed by data engineering teams
• Deep Learning experience is preferred
• Practitioner of scalable, modularized, and parameterized ML programming practices
• A stickler for robust Data Science practices (Validation methodologies, Explainable AI, etc.)
• Experience prototyping, building, and scaling models in production in cloud environments (AWS, GCP, Azure)
• Ability to research new methods, prototype, and implement them at scale.
• Experience with Sales Intelligence / Marketing Intelligence / Revenue Intelligence solutions / companies is a plus
• Understanding and appreciation for software engineering technologies for ML Ops and Data Ops (Airflow, Kubernetes deployments, etc.)

Roles and Responsibilities