9 Linear Regression Jobs

of statistical methods applied to data analysis Have user experience of R, Python or equivalent analytic software. Have understanding of various statistical methodologies including linear regression, logistic regression, and other advanced analytic techniques Have good written communication skills, including the ability to describe statistical results to non more »

of experience with scientific scripting languages (e.g., Python) and/or object-oriented programming (e.g., C++, Java) 4+ years of experience with Bayesian statistics, regression analysis (beyond linear regression), supervised learning, unsupervised learning or timeseries analysis required Basic Qualifications: Must be able to think conceptually, strategically, and more »

of experience with scientific scripting languages (e.g., Python) and/or object-oriented programming (e.g., C++, Java) 4+ years of experience with Bayesian statistics, regression analysis (beyond linear regression), supervised learning, unsupervised learning or timeseries analysis required Basic Qualifications: Must be able to think conceptually, strategically, and more »

client-friendly manner. Experience: Experience in a similar role within a Media Agency environment, delivering MMM and attribution model projects. Proficiency in Bayesian and linear regression approaches; familiarity with other machine learning techniques is advantageous. Extensive experience in data mining and analysis, including designing methodologies to address ad more »

to communicate the results of complex analysis in a simple and straightforward way and in a business context Familiar with analytical techniques such as linear regression and time series analysis. High degree of modelling experience within excel. Highly organised with ability to manage deliverables on multiple projects and more »

finance, funding, liquidity, capital etc. skills in structuring calculation frameworks (e.g. inputs, scenarios, mathematical logic, linkages and integrations). skills such as trend analysis, linear regression, migration matrices, and replicating finance business logic are a requisite. in programming languages and data structures such as SAS, SQL, Python, Excel more »

e-commerce testing and measurement strategies such as Geo-testing and marketing attribution. You are an expert in using various analysis techniques, such as linear and logistic regression, significance testing, and statistical modelling. Educated to degree level in a numerate/analytical subject. Solutions focused approach, with an more »

and SQL. Familiarity with data manipulation and analysis libraries (e.g., pandas, numpy, jupyter, scikit-learn). Knowledge of machine learning and statistical methods (e.g. linear/logistic regression, decision trees, random forest, unsupervised methods) is preferred. Ability to convey complex information through data visualisation. Ability to manage different more »

the UK) Proficiency in data analysis, data mining, and statistical techniques Proficiency utilising Python or R (2+ years' experience) Familiarity with conventional statistical models (linear/logistic regression, t-tests, ANOVA) Experience in collecting, organizing, and analysing data from diverse sources Strong analytical thinking, problem-solving, and critical more »