1 to 5 of 5 Dimensionality Reduction Jobs

/statistical data analysis tools such as R and Python and deep learning libraries such as PyTorch, TensorFlow, Keras Familiarity with data visualization and dimensionality reduction algorithms Ability to develop, benchmark and apply predictive algorithms to generate hypotheses Comfortable working in cloud and high-performance computational environments (e.g. more »

structures, working with structured, semi-structured and unstructured formats. proficiency - very comfortable employing statistical techniques to solve commercial problems, including, hypothesis testing, feature transformations, dimensionality reduction, correlation analysis, regression analysis (multiple linear and logistic), time series analysis and Bayesian methods. skills - adept in Python and its core data more »

in Engineering/Maths/Physics 5 years of experience with common marketing data science analyses, such as e.g. conjoints, max-diffs, drivers analysis, dimensionality reduction etc. Very good command of English What do we offer? A challenging position in a dynamic, fast-paced, innovative, quickly growing global more »

in Engineering/Maths/Physics 5 years of experience with common marketing data science analyses, such as e.g. conjoints, max-diffs, drivers analysis, dimensionality reduction etc. Very good command of English What do we offer? A challenging position in a dynamic, fast-paced, innovative, quickly growing global more »

The learning curve will be steep. Responsibilities Work with senior quant analysts across a broad range of projects that involve time series analysis using dimensionality reduction techniques, optimisation, machine learning, equity factor analytics and more. Qualifications You will work with large data sets, have strong maths and stats more »