Job Summary This role is responsible for collecting, analyzing, interpreting, and presenting data to support decision-making and provide insights to the organization. The role works with large datasets to identify trends, patterns, and correlations, helping businesses make informed choices and optimize their operations. The role utilizes various tools, techniques, and analytical skills to extract meaningful information from data and communicate their findings to non-technical stakeholders. Responsibilities Participates as a member of team of other data science engineers carrying out the investigation, design, development, execution, and implementation of data science projects to generate new insights, products, technologies, and intellectual property.
Uses statistical tools and techniques to identify process gaps, root cause issues, and drive data driven decision making. Develops and applies a broad range of techniques and theories from statistics, machine learning, and business intelligence to deliver actionable business insights. In accordance with plan and team guidance, performs/executes data collection and analysis procedures and data insight visualizations for assigned projects. Assists the team in performing experiments and validations in accordance with overall plan. Collects, records, and analyzes data using established protocols and processes; communicates findings to other team members for review and feedback.
Assists in preparation of literature and presentations for peer review, publication, and delivery at industry and scientific events and conferences; creates patent applications and supporting documentation. Applies foundational principles and contributes proactively to projects through research and data analysis support, providing regular updates on accomplishments and impediments. Supports priority projects with direction, maintaining relationships with internal stakeholders and sharing information via standardized reports. Education & Experience Recommended Four-year Degree in Mathematics, Statistics, Economics, Computer Science, or any other related discipline or commensurate work experience or demonstrated competence.
Typically has 0-2 years of work experience, preferably in data analytics, database management, statistical analysis, or a related field.
Preferred Certifications Programming Language/s Certification (SQL, Python, or similar)Knowledge & Skills Agile Methodology Business Intelligence Computer Science Dashboard Data Analysis Data Management Data Modeling Data Quality Data Science Data Visualization Data Warehousing Extract Transform Load (ETL) Machine Learning Power BI Python (Programming Language) R (Programming Language) SAS (Software) SQL (Programming Language) Statistics Tableau (Business Intelligence Software)Cross-Org Skills Effective Communication Results Orientation Learning Agility Digital Fluency Customer CentricityImpact & Scope Impacts own work and acts as a team member by providing information, analysis, and recommendations in support of team efforts.
Complexity Learns to apply basic theories and concepts to work tasks. Disclaimer This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management. 6716
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