Prove is seeking a Data Scientist to join our Data Engineering - Engineering team. Location: United States (Remote). We are hiring multiple Data Scientists at different levels; compensation will be based on qualifications and interview performance. This role is not eligible for work authorization sponsorship.

Job Summary We are seeking a Data Scientist who combines strong expertise in statistical analysis and applied machine learning with production-oriented workflows. You will partner with Senior Machine Learning Engineers to ensure models are production-ready, monitored, and continuously improved. You will focus on generating insights, developing models, and collaborating on monitoring deployed algorithms. You will help identify opportunities for model-driven improvements and business recommendations based on real-world performance.

Key Responsibilities Statistical & ML Modeling – Develop, validate, and tune statistical and machine learning models that solve complex business problems. Partner with engineers to ensure models are designed with production deployment in mind. Design experiments and evaluate models using robust statistical methodologies. Build and maintain dashboards that proactively monitor product efficacy and distribute key insights across product and customer domains.

Production Awareness & Monitoring – Collaborate with ML engineers on deployment pipelines, APIs, and infrastructure. Proactively monitor deployed models for drift, accuracy, and reliability. Provide insights and business recommendations based on model performance in production. Recommend r

Prove is seeking a Data Scientist to join our Data Engineering - Engineering team. Location: United States (Remote). We are hiring multiple Data Scientists at different levels; compensation will be based on qualifications and interview performance. This role is not eligible for work authorization sponsorship.

Job Summary We are seeking a Data Scientist who combines strong expertise in statistical analysis and applied machine learning with production-oriented workflows. You will partner with Senior Machine Learning Engineers to ensure models are production-ready, monitored, and continuously improved. You will focus on generating insights, developing models, and collaborating on monitoring deployed algorithms. You will help identify opportunities for model-driven improvements and business recommendations based on real-world performance.

Key Responsibilities Statistical & ML Modeling – Develop, validate, and tune statistical and machine learning models that solve complex business problems. Partner with engineers to ensure models are designed with production deployment in mind. Design experiments and evaluate models using robust statistical methodologies. Build and maintain dashboards that proactively monitor product efficacy and distribute key insights across product and customer domains.

Production Awareness & Monitoring – Collaborate with ML engineers on deployment pipelines, APIs, and infrastructure. Proactively monitor deployed models for drift, accuracy, and reliability. Provide insights and business recommendations based on model performance in production. Recommend r