6 of 6 Permanent Statistical Inference Jobs in London

team that's shaping the future of marketing technology — and actually enjoys doing it — you're in the right place.Find us on Instagram: @optimizelyIntroductionRigorous statistical analysis is a core to all experimentation products at Optimizely. You will get on customer calls to articulate how we maintain statistical accuracy … products as well as triage questions around statistical inference. You will educate internal and external stakeholders about fundamental as well as cutting edge statistics concepts via webinars, speaking engagements, blog posts, and white papers. You will also have the opportunity to work with our product and engineering teams ...

shaping the future of marketing technology — and actually enjoys doing it — you're in the right place. Find us on Instagram: @optimizely Introduction Rigorous statistical analysis is a core to all experimentation products at Optimizely. You will get on customer calls to articulate how we maintain statistical accuracy … products as well as triage questions around statistical inference. You will educate internal and external stakeholders about fundamental as well as cutting edge statistics concepts via webinars, speaking engagements, blog posts, and white papers. You will also have the opportunity to work with our product and engineering teams ...

deeper. This is not a production ML role (we have a dedicated Data Science/MLE team for that). Your primary tools are statistical inference, clear thinking, and the judgment to know which question matters most.You'll report into the Data & Analytics leadership team and work alongside … science role at a consumer tech companyBachelor's degree in a quantitative field (economics, statistics, quantitative social science, operations research) Demonstrated experience with causal inference methods in applied settings (e.g., difference-in-differences, instrumental variables, regression discontinuity, synthetic controls, propensity score matching)Track record of influencing product or business ...

machine learning models in a production environment. Fraud, risk, or financial services experience is a strong plus. Solid grounding in data science fundamentals: experimentation, statistical inference, model evaluation, and feature engineering. Comfort working in fast-paced, cross-functional teams with high ownership expectations. Skills & Competencies: Proficiency in Python ...

machine learning models in a production environment, fraud, risk, or financial services experience is a strong plus Solid grounding in data science fundamentals: experimentation, statistical inference, model evaluation, and feature engineering Proficiency in Python and SQL; comfort working across the full model development lifecycle An investigative instinct ...

SMEs in their defining moments, creating lasting impact for the communities and economies they drive.The functioniwoca's Data Scientists specialise in supervised machine learning, statistical inference and exploratory data analysis, focusing on tabular and time series data. Our work emphasises quantitative predictions through the analysis of conditional probabilities … Expertise in supervised machine learning on tabular data, with experience building and iterating production models end to end (exploration through deployment and monitoring).Strong statistical foundations in probability, uncertainty quantification, model calibration, and in reasoning about where a model is likely to be wrong.Ability to work independently ...