Data Scientist
Core
Develop existing ML models and services (anti-fraud, marketing evaluation, moderation) and build end-to-end new ML services for SKELAR's venture-backed consumer businesses.
Role type
Machine Learning Engineer (Data Scientist)
Builds
Production ML models and services for EdTech, Mental health, Petcare, and FashionTech startups
Domain
Venture building / Consumer Tech
Deliverable
production ML models
Required skills
SQL, Python, Mathematics, Probability theory, Statistics, Classical ML algorithms, ML frameworks, Data processing libraries, Model training/testing pipeline implementation, Model monitoring systems
Preferred skills
None stated
Technologies
None explicitly listed beyond frameworks
Responsibilities
Develop existing models and services; Collaborate with analysts and engineers to build complex ML pipelines; End-to-end development and deployment of new ML services; Ensure quality of model training and testing pipelines; Develop and implement model monitoring systems
Seniority
Mid-level, hands-on IC