Sciata
Quantitative Analysts / Data Scientists
Sciata, Phoenix, Arizona, United States, 85223
Remote (EST) Opportunity - Two Month Engagement
4+ years of technical experience working across data analytics, data science, and/or applied statistics domains. Experience with industry standard tools such as data scripting languages (python / R), predictive analytics / Client / AI techniques and tools, and cloud data platforms. Client or internal stakeholder facing experience solving analytics use cases and implementing solutions.
Data Scientist Job Responsibilities:Formulates and guides, multifaceted analytic studies against large volumes of data.Interprets and analyzes data using exploratory mathematic and statistical techniques based on the scientific method.Coordinates research and analytic activities utilizing various data points (unstructured and structured) and employ programming to clean, massage, and organize the data.Experiments against data points, provide information based on experiment results and provide previously undiscovered solutions to command data challenges.Leads all data experiments tasked by the Data Science Team.Coordinates with Data Engineers to build data environments providing data identified by Data Analysts, Data Integrators, Knowledge Managers, and Client Analysts.Develops methodology and processes for prioritization and scheduling of projects.nalyzes problems and determines root causes.Defines company data assets (data models) to populate data models.Works closely with all business units and engineering teams to develop strategy for long term data platform architecture.Data Scientist Qualifications / Skills:
dvanced analytical knowledge of dataConducting big data analysisData conditioningProgramming advanced computingDeveloping algorithmsDeveloping software and data modelsExecuting predictive analyticsEducation, Experience, and Licensing Requirements:
Master's degree in Operations Research, Industrial Engineering, Applied Mathematics, Statistics, Physics, Computer Science, or related fields4+ years of professional experienceProficient with Python and other programming languages (Java, C++, R, etc.)Demonstrated experience applying data science methods to real-world data problemsExperience utilizing visualization tools to take advantage of the growing volume of available information
4+ years of technical experience working across data analytics, data science, and/or applied statistics domains. Experience with industry standard tools such as data scripting languages (python / R), predictive analytics / Client / AI techniques and tools, and cloud data platforms. Client or internal stakeholder facing experience solving analytics use cases and implementing solutions.
Data Scientist Job Responsibilities:Formulates and guides, multifaceted analytic studies against large volumes of data.Interprets and analyzes data using exploratory mathematic and statistical techniques based on the scientific method.Coordinates research and analytic activities utilizing various data points (unstructured and structured) and employ programming to clean, massage, and organize the data.Experiments against data points, provide information based on experiment results and provide previously undiscovered solutions to command data challenges.Leads all data experiments tasked by the Data Science Team.Coordinates with Data Engineers to build data environments providing data identified by Data Analysts, Data Integrators, Knowledge Managers, and Client Analysts.Develops methodology and processes for prioritization and scheduling of projects.nalyzes problems and determines root causes.Defines company data assets (data models) to populate data models.Works closely with all business units and engineering teams to develop strategy for long term data platform architecture.Data Scientist Qualifications / Skills:
dvanced analytical knowledge of dataConducting big data analysisData conditioningProgramming advanced computingDeveloping algorithmsDeveloping software and data modelsExecuting predictive analyticsEducation, Experience, and Licensing Requirements:
Master's degree in Operations Research, Industrial Engineering, Applied Mathematics, Statistics, Physics, Computer Science, or related fields4+ years of professional experienceProficient with Python and other programming languages (Java, C++, R, etc.)Demonstrated experience applying data science methods to real-world data problemsExperience utilizing visualization tools to take advantage of the growing volume of available information