Full Stack Data Specialist

Description

Learns the strategy, ideation, and development in crafting an innovative platform connecting researchers with research participants. Utilizes data analysis and web development skills to build a platform that optimizes matching algorithms, provides intuitive user experiences, and integrates comprehensive data analytics tools.

Responsibilities

• Manages web product(s) through the entire development lifecycle, from conception and planning to tactical execution and sustainment.
• Creates products for a user-friendly web platform through the development of new-emerging web products and enhancements to optimize interaction for both users and participants.
• Defines and articulates the product vision, strategy and road map to all audiences.
• Incorporates analytical tools to gain a deeper understanding of participant behavior, demographics and engagement patterns.
• PARTNERS WITH VARIOUS DEPARTMENTS TO CONCEPTUALIZE, DESIGN AND IMPLEMENT INNOVATIVE PLATFORM FEATURES.
• APPLIES ADVANCE ANALYSIS TO EVALUATE THE FUNCTIONAL USE AND SUSTAINABILITY OF PLATFORM FEATURES AND THIRD-PARTY SOLUTIONS.
• DESIGNS, CONSTRUCTS AND ROLES OUT MACHINE LEARNING SOLUTIONS FOR DIVERSE PLATFORM NEEDS.
• EMPLOYS MACHINE LEARNING AND DATA ANALYTICS TO CONTINUOUSLY IMPROVE AND AUGMENT PLATFORM CAPABILITIES.
• PERFORMS NAVIGATION ANALYSIS AND BROWSER COMPATIBILITY ASSESSMENTS AND TESTING BY UTILIZING APPLICATIONS TO ENSURE TECHNICAL PERFORMANCE.
• TROUBLESHOOTS, RESEARCHES AND TRACKS WEB TECHNOLOGY ISSUES TO DETERMINE SOLUTIONS AND IDENTIFIES OPPORTUNITIES TO MITIGATE RISKS AND THREATS.
• STAYS AWARE OF LATEST TRENDS IN BOTH DATA SCIENCE AND WEB TECHNOLOGIES TO CONTINUOUSLY INNOVATE THE PLATFORM.
• INTERPRETS, REVIEWS AND UPDATES DEPARTMENTAL PROCEDURES FOR ROUTINE AND COMPLEX TASKS TO ENSURE COMPLIANCE WITH THE UNIVERSITY.

Requirements

Requires a minimum of five (5) years of directly job-related experience.

Qualifications

• Master's Degree preferred.
• Thorough understanding of both theoretical and practical aspects of an analytical, technical or professional discipline.
• Knowledge of the discipline is normally obtained through a formal, directly job-related 4 year degree from a college or university or an equivalent in-depth specialized training program that is directly related to the type of work being performed.

Skills

• Strong analytical, communication and problem-solving skills.
• Experience supporting data governance, reporting and optimization across multiple systems.

Benefits

The Department is willing to accept education in lieu of experience.

Pay

$81,400 - $92,600

Schedule

N/A

Benefits

N/A

Skills

• SQL
• Python
• Data visualization tools
• Modern data management practices
• AI-related data concepts
• Adaptable and comfortable working in evolving data systems

Qualifications

• Master's Degree preferred.
• Thorough understanding of both theoretical and practical aspects of an analytical, technical or professional discipline.
• Knowledge of the discipline is normally obtained through a formal, directly job-related 4 year degree from a college or university or an equivalent in-depth specialized training program that is directly related to the type of work being performed.