Data Scientist Early Hire, Full Model Ownership, B2C SaaS
Core
Foundational Data Scientist building predictive ML models (churn, CLV, propensity) and experimentation frameworks for a B2C SaaS product to drive revenue and customer experience.
Role type
Senior IC Machine Learning Engineer (Full Model Ownership)
Builds
Production ML models, experimentation infrastructure, and scalable data pipelines for a B2C SaaS platform.
Domain
B2C SaaS, Subscription-based products, Product-led growth
Deliverable
production ML models
Required skills
Python, SQL, Machine Learning frameworks (scikit-learn, PyTorch, TensorFlow), Statistics, Hypothesis testing, Causal inference, Feature engineering, Model deployment and monitoring, A/B testing design, Cross-functional collaboration
Preferred skills
MLOps practices, Feature stores, Real-time inference pipelines, Product analytics platforms (Amplitude, Mixpanel, Segment), Recommendation systems, NLP, Generative AI
Technologies
Python, SQL, scikit-learn, PyTorch, TensorFlow, Amplitude, Mixpanel, Segment
Responsibilities
Design, build, validate, deploy, and monitor machine learning models for churn prediction, CLV forecasting, and recommendation systems; Own the complete ML lifecycle from problem definition to production optimization; Design and analyze experiments including A/B tests and causal inference studies; Establish experimentation frameworks and modeling standards; Collaborate with data engineering to productionize models via scalable pipelines; Translate model outputs into business recommendations for stakeholders.
Seniority
Early Hire, Senior level with full ownership
