The University of Chicago
Staff Data Engineer
The University of Chicago, Chicago, Illinois, United States, 60290
Department
PSD Data Science Staff
About the Department
The UChicago Data Science Institute is looking for an outstanding candidate with expertise in one or more areas related to data engineering (machine learning, statistics, databases, building data pipelines, etc.), demonstrated experience in software engineering, and ideally, a demonstrated interest in data science for social impact. This position offers the opportunity to lead machine learning and data science research applied to high impact environmental, human rights, and energy challenges. Example projects include building data pipelines to extract the locations of palm oil processing plants and using deep learning and NLP techniques to process thousands of documents to identify loan recipients in emerging economies.
Job Summary
Working in collaboration with UChicago Data Science Institute faculty and staff and The Schmidt Family Foundation 11th Hour Project, the Staff Data Engineer (SDE) will increase the data capacity of 11th Hour program staff and grantees. This role will consult on 11th Hour grantee data collection and modeling as well as the long-range goals of advancing scientific discovery, developing open source resources, innovative technical consulting, and other activities designed to advance the research and practice of data-driven and data intensive discovery across 11th Hour grantee areas.ResponsibilitiesConsult 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.
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 UChicago Data Science Institute activities.
Develop materials communicating significant results, best practices, and case studies with specific technologies, and documentation for significant software.
Has a deep understanding of methods to analyze complex data sets for the purpose of extracting and purposefully using applicable information.
Designs and evaluates statistical models and reproducible data processing pipelines using expertise of best practices in machine learning and statistical inference.
Performs other related work as needed.
Minimum Qualifications
Education:
Minimum requirements include a college or university degree in a related field.---Work Experience:
Minimum requirements include knowledge and skills developed through 5-7 years of work experience in a related job discipline.---Certifications:---Preferred QualificationsEducation:Graduate degree, preferably in computer science, data science, statistics, mathematics, engineering, or related computational field.
Experience:At least three (3) years of professional experience writing code in an interpreted language, such as Python or Javascript.
Experience communicating results through writing and presentations, both in and out of one’s own discipline.
Knowledge of software development best practices and commonly used tools.
Demonstrated experience in software engineering, applied machine learning, and/or advanced statistical methods.
Demonstrated record of success working at the intersection of environment, human rights, and data science.
Experience participating in open source software development and significant contributions to open source projects are also highly valued in this role.
Working ConditionsOffice environment.
Hybrid schedule with two days a week work from home and three days in the office.
Application DocumentsResume (required)
Cover Letter (preferred)
When applying, the document(s)
MUST
be uploaded via the
My Experience
page, in the section titled
Application Documents
of the application.
Job Family
Research
Role Impact
Individual Contributor
FLSA Status
Exempt
Pay Frequency
Monthly
Scheduled Weekly Hours
37.5
Benefits Eligible
Yes
Drug Test Required
No
Health Screen Required
No
Motor Vehicle Record Inquiry Required
No
Posting Statement
The University of Chicago is an
Affirmative Action/Equal Opportunity/Disabled/Veterans
and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender, gender identity, national or ethnic origin, age, status as an individual with a disability, military or veteran status, genetic information, or other protected classes under the law.Staff Job seekers in need of a reasonable accommodation to complete the application process should call 773-702-5800 or submit a request via
Applicant Inquiry Form.We seek a diverse pool of applicants who wish to join an academic community that places the highest value on rigorous inquiry and encourages a diversity of perspectives, experiences, groups of individuals, and ideas.All offers of employment are contingent upon a background check that includes a review of conviction history.The University of Chicago's Annual Security & Fire Safety Report provides information about University offices and programs that provide safety support, crime and fire statistics, emergency response and communications plans, and other policies and information.
#J-18808-Ljbffr
PSD Data Science Staff
About the Department
The UChicago Data Science Institute is looking for an outstanding candidate with expertise in one or more areas related to data engineering (machine learning, statistics, databases, building data pipelines, etc.), demonstrated experience in software engineering, and ideally, a demonstrated interest in data science for social impact. This position offers the opportunity to lead machine learning and data science research applied to high impact environmental, human rights, and energy challenges. Example projects include building data pipelines to extract the locations of palm oil processing plants and using deep learning and NLP techniques to process thousands of documents to identify loan recipients in emerging economies.
Job Summary
Working in collaboration with UChicago Data Science Institute faculty and staff and The Schmidt Family Foundation 11th Hour Project, the Staff Data Engineer (SDE) will increase the data capacity of 11th Hour program staff and grantees. This role will consult on 11th Hour grantee data collection and modeling as well as the long-range goals of advancing scientific discovery, developing open source resources, innovative technical consulting, and other activities designed to advance the research and practice of data-driven and data intensive discovery across 11th Hour grantee areas.ResponsibilitiesConsult 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.
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 UChicago Data Science Institute activities.
Develop materials communicating significant results, best practices, and case studies with specific technologies, and documentation for significant software.
Has a deep understanding of methods to analyze complex data sets for the purpose of extracting and purposefully using applicable information.
Designs and evaluates statistical models and reproducible data processing pipelines using expertise of best practices in machine learning and statistical inference.
Performs other related work as needed.
Minimum Qualifications
Education:
Minimum requirements include a college or university degree in a related field.---Work Experience:
Minimum requirements include knowledge and skills developed through 5-7 years of work experience in a related job discipline.---Certifications:---Preferred QualificationsEducation:Graduate degree, preferably in computer science, data science, statistics, mathematics, engineering, or related computational field.
Experience:At least three (3) years of professional experience writing code in an interpreted language, such as Python or Javascript.
Experience communicating results through writing and presentations, both in and out of one’s own discipline.
Knowledge of software development best practices and commonly used tools.
Demonstrated experience in software engineering, applied machine learning, and/or advanced statistical methods.
Demonstrated record of success working at the intersection of environment, human rights, and data science.
Experience participating in open source software development and significant contributions to open source projects are also highly valued in this role.
Working ConditionsOffice environment.
Hybrid schedule with two days a week work from home and three days in the office.
Application DocumentsResume (required)
Cover Letter (preferred)
When applying, the document(s)
MUST
be uploaded via the
My Experience
page, in the section titled
Application Documents
of the application.
Job Family
Research
Role Impact
Individual Contributor
FLSA Status
Exempt
Pay Frequency
Monthly
Scheduled Weekly Hours
37.5
Benefits Eligible
Yes
Drug Test Required
No
Health Screen Required
No
Motor Vehicle Record Inquiry Required
No
Posting Statement
The University of Chicago is an
Affirmative Action/Equal Opportunity/Disabled/Veterans
and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender, gender identity, national or ethnic origin, age, status as an individual with a disability, military or veteran status, genetic information, or other protected classes under the law.Staff Job seekers in need of a reasonable accommodation to complete the application process should call 773-702-5800 or submit a request via
Applicant Inquiry Form.We seek a diverse pool of applicants who wish to join an academic community that places the highest value on rigorous inquiry and encourages a diversity of perspectives, experiences, groups of individuals, and ideas.All offers of employment are contingent upon a background check that includes a review of conviction history.The University of Chicago's Annual Security & Fire Safety Report provides information about University offices and programs that provide safety support, crime and fire statistics, emergency response and communications plans, and other policies and information.
#J-18808-Ljbffr