JavaScript. Database management skills, including hands-on experience with designing, implementing, and optimizing databases. Experience implementing machine learning algorithms and embedding techniques such as linearregression, logistic regression, Word2Vec, or other AI/ML frameworks. Proficiency in using orchestration tools such as Kubernetes, Docker, and Helm. Strong more »
JavaScript. Database management skills, including hands-on experience with designing, implementing, and optimizing databases. Experience implementing machine learning algorithms and embedding techniques such as linearregression, logistic regression, Word2Vec, or other AI/ML frameworks. Proficiency in using orchestration tools such as Kubernetes, Docker, and Helm. Strong 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 linearregression), 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 linearregression), supervised learning, unsupervised learning or timeseries analysis required Basic Qualifications: Must be able to think conceptually, strategically, and more »
writing parameterised stored procedures Working knowledge and experience of creating functions in SQL Working knowledge of Microsoft Azure environments Working knowledge and experience of linearregression Working knowledge and experience of SQL Server SSIS Working knowledge of analytic functions in SQL Working knowledge of integrating Power BI reports 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, linearregression, 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 »
