"statistical analysis" Jobs
128 open tech roles matching “statistical analysis”, taken straight from company career pages — not reposted from other job boards. Most in demand right now: Python, SQL, Machine Learning. Every listing is re-checked daily and closed roles are removed.
Showing 20 of 128 results
Conduct critical analysis and develop evaluation frameworks to improve AI model capabilities in a fast-paced startup environment.
Join Anthropic as a Data Engineer to build data infrastructure that ensures AI systems are safe and beneficial.
Join Pinterest as a Staff Data Scientist to enhance forecasting and AI adoption within the Finance & Business Ops team.
Join Mercury as a Senior Data Scientist to build and deploy machine learning models for fraud detection in a fast-paced fintech environment.
Join Mercury as a Staff Data Scientist to build and deploy machine learning models for fraud detection in a fast-paced fintech environment.
Join Sprinter Health as an Applied Scientist to optimize logistics and improve patient care delivery through advanced modeling and decision systems.
Join Brigit as a Lead Data Scientist to build and improve ML models that enhance financial services for Americans living paycheck to paycheck.
Join Lyft as a Machine Learning Engineer to design and deploy cutting-edge ML systems in a collaborative environment.
Join Handshake as a Senior UX Researcher to shape AI model training through user research and taxonomy development.
Lead the technical vision for Ads Conversion Core Modeling at Pinterest, focusing on applied ML projects and large-scale model development.
Own the quality bar for human evaluations at a fast-scaling AI company transforming legal services.
Join Pinterest as a Sr. Staff Machine Learning Engineer to enhance the marketplace through innovative backend systems and statistical models.
Own quality at the source for power and cooling equipment in data centers, ensuring compliance and readiness for installation.
Join EliseAI as a Junior Research Scientist to develop machine learning models in a fast-paced startup environment.