This event will include a panel and workshop for attendees to engage with researchers and professionals with expertise creating data visualizations to advance health services and health policy research. Panel speakers will discuss their research agenda, their approach to implementing data visualizations using R and Observable, and the broader impacts of data visualizations for community partners and policymakers. The panel presentation will be followed by a guided workshop where attendees will learn how to create and apply data visualizations using Tableau.

SPEAKERS

Sophie Hill, PhD, Department of Government, Harvard University

Michael Freeman, MPH, Developer Advocate, Observable (formerly University of Washington iSchool and IHME)

Coleman Wagoner, Lead Solutions Engineer, Tableau

https://washington.zoom.us/meeting/register/tJYude2uqzwjHde2R00bEeni5fYgu_iX9pmy

About us

UW-IT’s Academic Experience Design & Delivery unit (AXDD) strives to understand the needs and goals of University of Washington (UW) students, instructors, staff, and researchers in order to guide the development of new technologies and analytics that improve the way our users do their work.

AXDD works closely with the campus community on emerging predictive analytics initiatives, and pioneers tools that present data to inform and support academic planning, advising, and teaching and learning practices. AXDD supports data-driven decisions and organizational strategy with meaningful analytics and contemporary statistical approaches designed to improve our services to the UW. We communicate findings to multiple audiences to support strategic decision-making, the use of best practices, and the development and adoption of appropriate, effective technology.

AXDD is a highly supportive environment for thoughtful inquiry, which values:

• Data-driven decision-making
• Cross-functional and multi-disciplinary teams
• User-centered design and development
• Agile and iterative development methods
• Innovative thinking

At UW, diversity is integral to excellence. We value and honor diverse experiences and perspectives, strive to create welcoming and respectful learning environments, and promote access, opportunity and justice for all.

About You

By applying for this position, you are telling us that you:

• Enjoy drawing meaningful conclusions from data
• Believe in clear communication as the foundation to any relationship
• Have a genuine curiosity about the student experience
• Like to have fun at work

Job Description

AXDD seeks an aspiring data scientist who will help us discover patterns hidden in vast amounts of data, and help deliver analytical tools for students, faculty, and staff. Your primary focus will be in applying data mining techniques, conducting statistical analyses, and building machine learning models to be integrated with our existing and future products.

Position Responsibilities

• Contribute to the development of learning analytics that aim to understand student engagement and support student success and retention

• Analyze data, develop findings, and communicate findings
• Develop innovative and meaningful visualizations of data
• Identify trends, and support strategic, data-driven decision-making

Minimum Qualifications

• Enrollment as an undergraduate or graduate student at UW, Seattle.

• Ability to query structured databases, e.g. SQL, using appropriate tools
• Analyzing quantitative data and a good knowledge of statistics
• Data analysis planning, demonstrated skill in making sense of data, and familiarity with data analysis tools and software like R and/or Python
• Data visualization, and facility with visualization libraries/tools, e.g. D3, GGplot, Shiny
• Processing, cleaning, and verifying the integrity of data used for analysis and documenting process

Desirable Skills

• Github workflows
• The ability to rapidly prototype apps using your preferred coding language
• Selecting features, building and optimizing classifiers using machine learning techniques
• Interpreting and explaining machine learning models for audiences with varying levels of technical knowledge
• Doing ad-hoc analysis and presenting results

Learning Competencies

• Working effectively on cross-functional teams
• Resourcefulness and the ability to synthesize information
• Time management and the ability to plan, organize, and prioritize work
• Building and fostering collaborative relationships in a diverse workplace
• Applying data analysis and machine learning in a production environment

Job Hours and Pay Rate

Up to 20 hours a week for 11 weeks (per quarter) at $16.65 per hour. Operating hours are Monday-Friday from 9am-5pm. We are flexible during finals week. Schedules are based upon workload, the applicant’s class schedule and other academic responsibilities. Ideal candidates can give at least one academic year commitment. During academic breaks, hours can increase up to 40 hours a week.

Apply here. We will not review applications submitted to Handshake.