"statistics" Jobs
1116 open tech roles matching “statistics”, 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 1116 results
Lead the development of detection models to identify automated and malicious activity across Internet-scale data.
Join Atoms as an Automation Specialist to shape automation strategies and develop solutions for the online food delivery industry.
Join Databricks as an AI/ML Specialist Solutions Architect to guide customers in architecting production-grade ML & AI applications.
Join SpaceX as a Data Center Safety Engineer to ensure safety controls in the expansion of AI infrastructure in Memphis.
Lead a team of data scientists to shape data strategy for Figma's AI products in a fully remote role.
Join Triomics as an ML Evaluation Engineer to ensure model quality and stability in clinical AI systems.
Join Coinbase as an Analytics Engineer to build data foundations for customer experience and compliance operations in a hybrid work environment.
Lead a team in model governance for a rapidly growing identity verification company with a focus on fraud detection.
Lead a team of Analytical Engineers at Asana to enhance data foundations and drive self-serve analytics in a hybrid work environment.
Join insitro as a Senior ML Scientist to develop machine learning methods for biological data analysis in a vibrant biotech startup.
Join Stripe as a Strategic Capacity Planning Specialist to design and maintain capacity planning models for user support and risk verticals.
Join Shift Technology as a Data Scientist/Deployment Engineer to assist in deploying AI solutions for the insurance industry.
Lead the safety validation of scenarios for real-world robots at Atoms, focusing on safety-critical domains.
Join Pinterest as a Sr. Data Scientist to drive marketing strategies and revenue growth through advanced analytics and collaboration.
Join Udio as a full-stack scientist to lead quantitative research efforts at the intersection of music and AI.