Staff Data Engineer

University of Chicago • Chicago, IL

385d • Remote

About The Position

The Staff Data Engineer (SDE) at the UChicago Data Science Institute will play a crucial role in enhancing the data capacity of the 11th Hour Project. This position focuses on consulting with grantees, developing data pipelines, and conducting research to address significant environmental and social challenges through data science. The SDE will collaborate with faculty and staff to create open-source resources and provide training to build data literacy among environmental nonprofits and companies.

Requirements

• Minimum college or university degree in a related field.
• 5-7 years of work experience in a related job discipline.

Nice To Haves

• Graduate degree in computer science, data science, statistics, mathematics, engineering, or related computational field.
• At least three years of professional experience writing code in an interpreted language, such as Python or Javascript.
• Experience communicating results through writing and presentations.
• Knowledge of software development best practices and commonly used tools.
• Demonstrated experience in software engineering, applied machine learning, and/or advanced statistical methods.
• Experience participating in open source software development and significant contributions to open source projects.

Responsibilities

• Consult with 11th Hour grantees to clarify goals, identify collaboration opportunities, and support data collection and modeling.
• Write high quality code (Python, JS) using modern dev ops tools (docker, etc.).
• Develop workshops and trainings to build 11th Hour program staff and grantee data capacity.
• Review and evaluate potential joint 11th Hour-UChicago Data Science Institute projects for technical merit and feasibility.
• Develop open source data science resources to support the data literacy and capacity for environmental nonprofits and companies to use.
• Conduct an independent research program in the SDE area of specialty and disseminate and publish these results.
• Engage with other research initiatives at the UChicago Data Science Institute, including establishing external collaborations outside of the SDE area of expertise.
• Support the ongoing education, training, and consulting programs at the UChicago Data Science Institute.
• Mentor and support graduate and undergraduate students in the UChicago Data Science Clinic.
• Participate in grant writing activities to support ongoing initiatives in data science.
• Contribute to the life of the UChicago Data Science Institute environment through service and participation in activities, including public lectures and blog posts.
• Develop materials communicating significant results, best practices, and case studies with specific technologies, and documentation for significant software.
• Analyze complex data sets for the purpose of extracting and purposefully using applicable information.
• Design and evaluate statistical models and reproducible data processing pipelines using expertise in machine learning and statistical inference.

Benefits

• Health insurance coverage
• Paid holidays
• Flexible scheduling
• Professional development opportunities

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Industry: Educational Services
• Education Level: Bachelor's degree