Senior Data Scientist - Machine Learning Department - School Of Computer Science

Carnegie Mellon University's department of Machine Learning is searching for a Senior Data Scientist. This is a dynamic opportunity for someone who thrives in an interesting and challenging work environment. You will contribute to the department by providing essential support to the Data Science and Public Policy team in the Machine Learning Department and Heinz School of Public Policy by guiding educational/training programs, applied research projects with government agencies and non-profits in education, public health, criminal justice, environment, economic development and international development, and research in areas such as interpretability, bias and fairness, and other machine learning methods focused on problems in social sciences and public policy with a strong emphasis on releasing the work through open source code, shared curriculum, and publications.

Core responsibilities will include:

• Playing a lead technical role in applied projects, similar to those described above
• Coordinating with government and non-profit partners, including scoping, ongoing updates, field trials & evaluation, and eventual implementation & deployment
• Contributing to open source tools for building, evaluating, and mitigating disparities in machine learning models built for social good applications
• Leading educational programs, including courses at CMU and/or our summer Data Science for Social Good Fellowship
• Participating in research focused on bias and fairness in machine learning, model explainability, or methods that are tailored to the nuances of problems in public policy
• Mentoring students and research associates who work with the group

Flexibility, excellence, and passion are vital qualities within Carnegie Mellon University. Inclusion, collaboration and cultural sensitivity are valued competencies at CMU. Therefore, we are in search of a team member who is able to effectively interact with a varied population of internal and external partners at a high level of integrity. We are looking for someone who shares our values and who will support the mission of the university through their work.

Qualifications:

• Bachelor's (or equivalent) degree required in a computational, statistical, or quantitative discipline such as computer science, machine learning, statistics, engineering, or quantitative natural or social sciences
• At least 5 years of industry/government experience required working on real-world problems
• Experience working with technical and non-technical project stakeholders to scope, formulate, deploy, and maintain data science systems
• Strong Python experience
• Experienced in using databases
• Expertise in data analysis and machine learning using python, especially using modules such as statsmodels, scikit-learn, pandas, sqlalchemy, etc.
• Passion for making a social impact and working with governments and non-profits

Requirements:

• Successful Background check

Are you are passionate about this exciting opportunity? Please apply!

CMU's COVID-19 Vaccination Requirements: As a condition of employment, Carnegie Mellon University requires all staff and faculty working in the United States to be fully vaccinated, including a booster when eligible, against COVID-19. Prior to commencement of employment, new hires in the United States must provide proof of vaccination or obtain an approved exemption. (Exemptions may be requested for medical reasons or for religious or strong moral or ethical conviction.) Those granted an exemption must comply with all applicable COVID-19 mitigation requirements. The most up-to-date information on CMU's COVID-19 mitigation requirements can be found here: Minimum Requirements to Return to Campus.

Location
Pittsburgh, PA
Job Function
Data Analysis
Position Type
Staff - Regular
Full Time/Part time
Full time
Pay Basis
Salary
More Information:

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