Confirm your organization possess the business acumen and analytic chops to ensure your team is applying the right approach and critical thinking to execute against projects using an assortment of methods that range from descriptive profiles and statistical forecasting to Predictive Modeling and optimization.

More Uses of the Predictive Modeling Toolkit:

  • Ensure your strategy uses best practices to develop complex statistical, machine learning techniques to build models that address business needs and to improve the accuracy of your data and data driven decisions.
  • Collaborate effectively with business units across the enterprise, to ensure quantitative modeling approaches are consistent and aligned with business unit strategies and capabilities.
  • Ensure you audit; recommend, design, and develop actionable analytic solutions for key business problems through in depth investigations of healthcare utilization trends and outcomes.
  • Establish credibility as a trusted advisor to key stakeholders across business units in order to promote and elevate statistical and Predictive Modeling standards.
  • Analyze data sets and trends for anomalies, outliers, trend changes and opportunities, using statistical tools and techniques to determine significance and relevance.
  • Organize: mastery level of perspective, problem solving, customer focus, dealing with ambiguity, drive for results, analysis, learning perspective, problem solving, customer focus, dealing with ambiguity, drive for results, analysis, learning.
  • Use best practice marketing and cultural research methods to collect quality data and generate transformative insights around customer, market, supplier, and employee behavior.
  • Ensure you foster; lead cross functional, high exposure, high stakes projects and deliver innovative, complex technical solutions to solve problems and improve business outcomes.
  • Be accountable for designing and leading implementation of research projects at Equip, with a focus on Predictive Modeling, data visualization, insight tools development, and data infrastructure/platform/EHR improvements.
  • Drive: competence in the use of data and analytical approaches to present and interpret quantitative data relevant to policy development and evaluation, and to evaluate policy effectiveness.
  • Employ Predictive Modeling, data mining, graph algorithms, and other data science techniques to contribute to and enhance your cross device identity resolution portfolio.
  • Oversee analytics of customer attributes and actions to perform customer segmentation; develop strategy to effectively manage the existing base using that customer segmentation.
  • Ensure you accomplish; lead deep dive analysis and Predictive Modeling to drive problem solving, identify and clearly communicate actionable insights for cross functional stakeholders.
  • Support cases that require exploratory and one time analysis using data science techniques; complex dashboards and visualizations; and strategic, insightful advice to your clients.
  • Utilize performance measurements and indicators to identify areas for improvement; develop process improvement plans for each performance indicator or area identified.
  • Confirm you mastermind; lead the design, development and usage of machine learning/statistical models together with partner Data Science team and ensure rigorous validation procedures and adoption.
  • Lead: own consumer analytics, Predictive Modeling, behavioral segmentation, and progressive consumer lifecycle management for your organization across channels and markets.
  • Coordinate: leverage statistical, econometric, stochastic, operations research, Predictive Modeling, simulation, optimization (linear, mixed integer, constraint programming), and/or machine learning analytics techniques.
  • Confirm your planning utilizes effective project planning techniques to break down moderately complex and occasionally complex machine learning/Predictive Modeling and/or development projects into tasks and ensure deadlines are kept.
  • Improve your organizations analysis, segmentation and Predictive Modeling capabilities to drive increased performance and efficiency of sales and service operations.
  • Manage: direct the quantitative analysis of the impact of changes in macroeconomic indicators on portfolio/business performance for an effective integrated forecasting/capital planning process.
  • Establish that your strategy determines methods of statistical analysis and applies statistical techniques to determine measures of central tendency, correlation, sample size, significance of difference, etc.
  • Utilize advanced statistical abilities and tools to interpret data sets, paying particular attention to trends and patterns that could be valuable for diagnostic and predictive efforts.
  • Be accountable for partnering with business and technical SMEs to understand relevant data, analyze and perform necessary deeper dives to solve given business problem, summarize and present key findings.
  • Assure your project complies; conducts advanced analytics leveraging Predictive Modeling, machine learning, simulation, optimization and other techniques to deliver insights or develop analytical solutions to achieve business objectives.
  • Initiate: GPU processing, distributed computing, highly parallel coding, cloud computing, machine learning, visualization, system modelling and simulation to achieve results.
  • Collaborate, act as a resource, and mentor other members of the Actuarial and Data and Analytics department on Predictive Modeling techniques and methods and advanced analytics data platform development.
  • Ensure you helm; lead with expertise in statistical methodologies as Predictive Modeling and inference, machine learning methods, mixed effects models, multivariate analysis, etc.
  • Manage end to end Predictive Modeling and solution development life cycle from requirements gathering, identification of data sources, model development and evaluation, to data processes and model implementation.
  • Manage work with business units to develop ongoing monitoring plans, ensuring the implementation of appropriate model testing and monitor test results to ensure the model is performing as intended.

 

Categories: Articles