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Analytics and Modelling - Staff Engineer
Eingestellt von CPL Solutions
Gesuchte Skills: Engineer, Engineering, Sql, Lingo
Projektbeschreibung
DESCRIPTION
My clients is recruiting for an Advanced Analytics & Modelling Engineer to work in a leadership capacity, focusing on developing and deploying advanced mathematical models & analytics, to obtain Business Intelligence and support data-driven decision making in operations and supply chain.
RESPONSIBILITIES
Partner with business leaders and stakeholders to identify analytics application opportunities.
Develop and deploy Operations Research (O.R.) optimization models, simulation, statistical and data mining analysis to effectively support data-driven decision making and achieve significant business improvement.
Independently lead/support multiple. modelling projects as required. Manage and execute project activities throughout problem framing, data collection, model development, testing, deployment, results tracking and continuous improvement phases.
Ensure on-time delivery of technical solutions that meet business needs, and manage business partner satisfaction relative to deliverables. Provide end user training on the mathematical models and decision support tools to ensure proper adoption and sustained use of the solutions.
Conduct industry benchmarking and literature review on best practices in O.R./advanced analytics deployment. Support analytics strategy development.
Provide subject matter expertise and focused training sessions in advanced analytics & modelling to technical staff. Learn and share best practices with colleagues.
Provide written and verbal communications such as business cases, project progress reports and documentation to management and business partners.
QUALIFICATIONs
Must hold a Bachelor's degree in - Operations Research/Industrial Engineering/Statistics/Management Science or other related quantitative disciplines.
Must have 7+ years of industry experiences in successfully deploying O.R. mathematical models & advanced analytics in operations and supply chain areas.
Must have strong technical competency and hands-on skills in developing optimization models (eg, LP, NLP, MIP, QP) and decision support tools using at least one of these software packages: Risk Solver Platform, AIMMS, VBA, C++, GAMS, AMPL, CPLEX, Lingo.
Must have strong data manipulation and analysis skills. Hands-on skill with databases (eg, Access, SQL Server, Oracle), SQL query, and Excel Pivot Table is required.
Experience with statistical analysis, data mining, and predictive modelling is preferred. Working knowledge of at least one statistical software package (Minitab/SAS/SPSS) is preferred. Familiarity with predictive modelling algorithms (eg, regression, CART, MARS, neural networks) is a plus.
Experience with simulation software (eg, Arena, Crystal Ball, Risk Solver Platform) is strongly preferred.
Must have strong project management, leadership, presentation, communication, and business partnering and collaboration skills.
Must be proficient with Microsoft office programs (Excel, PowerPoint, Word, Project, Outlook,
Experience in Six Sigma and Lean is a plus.
For more information on this role, please contact Luke (see below)
My clients is recruiting for an Advanced Analytics & Modelling Engineer to work in a leadership capacity, focusing on developing and deploying advanced mathematical models & analytics, to obtain Business Intelligence and support data-driven decision making in operations and supply chain.
RESPONSIBILITIES
Partner with business leaders and stakeholders to identify analytics application opportunities.
Develop and deploy Operations Research (O.R.) optimization models, simulation, statistical and data mining analysis to effectively support data-driven decision making and achieve significant business improvement.
Independently lead/support multiple. modelling projects as required. Manage and execute project activities throughout problem framing, data collection, model development, testing, deployment, results tracking and continuous improvement phases.
Ensure on-time delivery of technical solutions that meet business needs, and manage business partner satisfaction relative to deliverables. Provide end user training on the mathematical models and decision support tools to ensure proper adoption and sustained use of the solutions.
Conduct industry benchmarking and literature review on best practices in O.R./advanced analytics deployment. Support analytics strategy development.
Provide subject matter expertise and focused training sessions in advanced analytics & modelling to technical staff. Learn and share best practices with colleagues.
Provide written and verbal communications such as business cases, project progress reports and documentation to management and business partners.
QUALIFICATIONs
Must hold a Bachelor's degree in - Operations Research/Industrial Engineering/Statistics/Management Science or other related quantitative disciplines.
Must have 7+ years of industry experiences in successfully deploying O.R. mathematical models & advanced analytics in operations and supply chain areas.
Must have strong technical competency and hands-on skills in developing optimization models (eg, LP, NLP, MIP, QP) and decision support tools using at least one of these software packages: Risk Solver Platform, AIMMS, VBA, C++, GAMS, AMPL, CPLEX, Lingo.
Must have strong data manipulation and analysis skills. Hands-on skill with databases (eg, Access, SQL Server, Oracle), SQL query, and Excel Pivot Table is required.
Experience with statistical analysis, data mining, and predictive modelling is preferred. Working knowledge of at least one statistical software package (Minitab/SAS/SPSS) is preferred. Familiarity with predictive modelling algorithms (eg, regression, CART, MARS, neural networks) is a plus.
Experience with simulation software (eg, Arena, Crystal Ball, Risk Solver Platform) is strongly preferred.
Must have strong project management, leadership, presentation, communication, and business partnering and collaboration skills.
Must be proficient with Microsoft office programs (Excel, PowerPoint, Word, Project, Outlook,
Experience in Six Sigma and Lean is a plus.
For more information on this role, please contact Luke (see below)
Projektdetails
Geforderte Qualifikationen
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Kategorie:
IT Entwicklung, Ingenieurwesen/Technik