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Statistics Jobs
41 open positions · Updated 18 hours ago
41 Statistics roles across 31 companies, most in Data Science; 5% fully remote; typical advertised salary $150k
Who is hiring (31 companies)
Work arrangement: 2 fully remote · 17 hybrid · 4 on-site · 18 not stated
Advertised salaries: p25 $134.1k · median $150k · p75 $182.1k (from 16 disclosed annual salaries, USD)
Counts are open roles Joblaze currently tracks on company career pages for this exact skill/location; salaries are advertised minimums, annual, converted to USD.
Showing 20 of 41 positions
Search with filters →Lead data privacy projects ensuring patient privacy while delivering AI training data in a fast-paced startup environment.
Join Lyft as a Data Scientist to develop pricing algorithms and enhance rider engagement in a collaborative environment.
Design algorithms to track and plan aircraft trajectories in the National Airspace System as an Optimization Software Engineer.
Join Lyft as a Data Scientist to collaborate with engineers and product managers in solving complex business problems using data.
Lead algorithm development for robotic task planning at Dexterity, enhancing warehouse automation solutions.
Lead Neko's data-driven approach to clinical quality, ensuring accurate health measurements and insights.
Join Lyft as a Data Scientist to develop dynamic pricing models and collaborate with cross-functional teams to enhance rider and driver experiences.
Join Suno as a Machine Learning Engineer to develop innovative recommendation models for music discovery.
Join Snorkel AI as a Staff Software Engineer to enhance AI data processes and shape ML engineering standards.
Join Figma as a PhD Intern in Data Science to tackle key questions and influence product strategy through data-driven insights.
Join Enigma's Entity Resolution team as a Staff Data Scientist to impact data accuracy and product value directly.
Design and optimize machine learning models for predictive maintenance in a leading industrial platform.
Join Datadog as a Research Science Intern to work on AI research projects in collaboration with Carnegie Mellon University.
Join Talos as a Quantitative Analyst Intern to analyze trading data and develop quantitative models in a supportive, hybrid environment.
Join Shift Technology as an Applied Data Scientist/Engineer to develop AI solutions for fraud detection and automation in a hybrid work environment.
Join Shift Technology as a junior Data Scientist to contribute to innovative solutions in fraud detection and claims automation.
Join Watershed Informatics as a Software Engineer to develop data exploration APIs and tools for digital drug discovery.
Own the evaluation system for Nuna's AI health coach, building testing harnesses and infrastructure to ensure safety and quality.
Lead quality management for AI deliverables at Lilt, ensuring high standards in a hybrid work environment.