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Conduct descriptive statistical and diagnostic techniques to determine model validity, accuracy and goodness-of-fit, such
Development, analysis, and interpretation of statistical and accounting information in order to appraise operating results in terms of profitability and performance against budget * in the review ...
Analyze model input data, assumptions, and overall methodology. • Using statistical practices, analyze current and historical data to make predictions, identify risks, and opportunities, enabling ...
Experience with statistical or data science packages such as STATA, SAS, or R and geospatial tools such as ArcGIS. * Familiarity/proficiency using query languages (e.g. SQL) is a plus. * Ability to ...
Identifies optimal statistical methods and test designs for specific analytic needs. * Participates in the development, validation and delivery of algorithms, statistical models and reporting tools
Working closely with both the Planning and Analytics teams, Data Sciences designs and implements statistical models and machine learning solutions that tie our clients' marketing to real-world ...
Prior experience in delivering impact using statistical analysis, predictive modeling, and machine learning. * Strong knowledge with databases, such as Redshift, and Python computing stack via cloud ...
Requirements: - Proficiency in Python programming. - Strong knowledge of data analytics techniques. - Experience with data manipulation and visualization. - Familiarity with statistical analysis and ...
Experience in statistical analysis (OLS, decomposition of variance), and confidence writing production-ready code and tests for math models. * Cloud Architecture : Experience in architecting ...
... statistical analysis, and campaign measurement • Experience working with data environments and strong knowledge in querying language and/or querying applications (SQL, Alteryx) • Strong in MS ...
Execute hands-on data migration and business data analysis, ensuring the integration of diverse financial and statistical systems. * Develop and implement strategic data mapping and cataloging to ...
These tasks involve developing complex business analytics and applying state-of-the-art statistical and analytical methodologies to solve complex business problems. This is a pivotal role for the ...
The Analytics group (Redbox) is passionate about data analysis, measurement, and storytelling. We ... Knowledge of statistical techniques (multivariate regression, optimization, clustering, forecasting
Explore, analyze, and extract insights from large, complex datasets * Identify and apply appropriate statistical and machine learning techniques * Collaborate with software engineers to implement and ...
D. in statistics or math, or equivalent quantitative field of study. * Demonstrated experience in developing, implementing, and managing operational analytical solutions or frameworks. (8+ years of ...
Provide strategic regulatory input to key development documents: clinical protocols, clinical and nonclinical reports, summary documents, statistical analysis plans, DMC charters, IBs, DSURs, etc
Knowledge of statistics and its application to the financial services industry * Life insurance ... Strong analytical and critical thinking skills is a must * Strong verbal and written communication ...
Must have a good understanding of statistical modeling, segmentation, value analysis, as well as reporting for web site, online advertising, social media, mobile, e-mail campaigns and e-commerce ...
Conducting statistical analysis to evaluate the impact of changes in credit strategy in a rapidly evolving industry. * Build with a team of passionate engineers and analysts the future of ...
Develop and implement data analytics and collection systems and other strategies that optimize statistical efficiency and quality. * Support the creation of documentation on database design ...
Job Description Associate Director - Data & Analysis The Data & Analysis team uses data-driven ... Experience with modern statistical learning methods (regression techniques, classification models ...
At least three years of statistical analysis or predictive modeling experience. * A bachelor's degree or better in Statistics, Data Science, or Math (or comparable professional experience
Expert command of retail math concepts, applications and statistical analysis * Detail-oriented, with excellent follow-through skills * Strong analytical, verbal and written communication skills