Data Scientist

About This Role

• Drives the design, development, and application of sound data practices through the advancement of algorithms and statistical techniques including descriptive statistics and inferential methods, multivariate analysis, regression analysis, etc.
• Conducts statistical analyzes to derive conclusions from the study, identifies and quantifies sources of variation, discovers patterns in the data, and draws conclusions that go beyond the observed data.
• Identifies new opportunities for reports and value-added analytics, research new methods in statistics, data science, and machine learning.
• Writes reports, develops dashboards, and prepares data visualizations.
• Integrates internal and external data to test concepts, evaluates markets and opportunities, optimizes and refines products and services, and explores areas for growth.
• Assists cross functional teams with decision making by collecting, analyzing, and presenting data.
• Works across projects and uses statistical and mathematical skills to understand data trends before presenting reports to business managers and stakeholders.
• Provides statistical support to projects, consults with managers, engineers, and technicians on engineering methodologies, data analysis, and experimental design.
• Applies advanced statistical techniques to create high performing predictive models and creative analyzes to address business objectives and client needs, responding to customer requests as required.
• Democratizes analytical methods through teaching and collaboration, drives development and maintenance of Statistical Process Control infrastructure, data integrity management and issue resolution.
• Key Responsibilities Design and apply advanced statistical methods, including descriptive statistics, inferential analysis, multivariate analysis, and regression techniques, to analyze complex datasets.
• Conduct statistical analyses to identify patterns, quantify sources of variation, and derive conclusions that extend beyond observed data.
• Research and implement new statistical, data science, and machine learning methods to address business challenges and optimize opportunities.
• Integrate internal and external datasets to evaluate markets, test concepts, and refine products and services.
• Develop dashboards, reports, and data visualizations that transform complex data into clear, actionable insights for business managers and stakeholders.
• Provide statistical support to projects by consulting with managers, engineers, and technicians on data analysis, experimental design, and engineering methodologies.
• Create predictive models to address client needs, respond to customer requests, and drive solutions to meet business objectives.
• Maintain and enhance Statistical Process Control infrastructure, ensuring data integrity and addressing any issues.
• Educate and collaborate with cross-functional teams to democratize analytical methods and foster a data-driven culture.