"statistical modeling" Jobs
715 open tech roles matching “statistical modeling”, 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 715 results
Join Databricks as an AI/ML Specialist Solutions Architect to guide customers in architecting production-grade ML & AI applications.
Join AMP Sortation as a Machine Learning Engineer to develop cutting-edge AI solutions for modernizing recycling infrastructure.
Join Anthropic as a Data Engineer to build data infrastructure that ensures AI systems are safe and beneficial.
Join Stripe's Data Science team to drive impactful data analyses and model development for the Link product.
Lead quality management for AI deliverables at Lilt, ensuring high standards in a hybrid work environment.
Join Fivetran as a Senior Data Analyst to tackle complex analytical challenges and support revenue forecasting and attribution.
Join KONUX as a Senior Data Scientist to develop AI-powered solutions for the railway industry in a collaborative and innovative environment.
Join Stripe as a Strategic Capacity Planning Specialist to design and maintain capacity planning models for user support and risk verticals.
Build scalable AI/ML models and applications at Cloudflare, collaborating with cross-functional teams in a hybrid work environment.
Join Freenome as a Senior Machine Learning Engineer to develop and optimize deep learning pipelines for cancer detection.
Join insitro as a Senior Manager to lead project and portfolio management for innovative drug discovery in a hybrid work environment.
Join Databricks as an AI/ML Specialist Solutions Architect to guide customers in architecting production-grade ML & AI applications.
Join KoBold Metals as a Staff Applied Scientist to develop innovative data collection instruments for mineral exploration.
Join Base Power Company as a Quantitative Trader to develop trading strategies for power products in a fast-paced startup environment.