Data Science Fellow
City of Baltimore
Data Science Fellow, Mayor’s Office of Innovation
About the Mayor’s Office of Innovation
The Mayor's Office of Innovation (baltimoreinnovates.com) is a team, supported by Bloomberg
Philanthropies, that works with City agencies to design and develop projects combining
research, data and human-centered design to tackle a range of challenges in Baltimore. This
small team focuses on a core issue, defined by the Mayor, over a period of about a year before
moving on to a new area.
The Mayor’s Office of Innovation, or “i-team”, has begun work with the Department of Housing
and Community Development (DHCD) to understand vacancy and housing issues in Baltimore’s
Data Science Fellow Duties & Responsibilities
The i-team is in the midst of the research phase of its work with DHCD, in which it is seeking to
develop a detailed understanding of housing issues in our middle neighborhoods using data
analysis, conducting thorough qualitative research, reviewing challenges and practices from
other cities. The Data Science Fellow will support the i-team by:
● Supporting the team’s data gathering efforts – extracting data from city systems,
cleaning, and combining.
● Contributing to rigorous data analysis & visualization.
● Assisting in the development of predictive analytics as needed, for example, a tool to
identify houses that are unoccupied and that have not received vacant building notices
● Helping to synthesize and document findings from different research strands.
● Time Commitment : Must be able to work 10 to 20 hours per week; preference for
candidates who are available to work more than that.
● Length of Fellowship : The Fellowship would run for 4-6 months - to be agreed in
advance by the i-team and the Fellow together.
Education & Experience
Upper-level undergraduate or graduate STEM students (computer science, statistics, mathematics, engineering, basic sciences, etc.) with firm understanding of statistical concepts
Previous internship or independent research project strongly preferred
Desired Technical Skills
Ability to double- and triple-check own work; takes extra steps to confirm answer is correct before presenting findings
Enjoys spending time crafting clear, uncluttered data visualizations
Ability to join disparate datasets; manipulate, transform, summarize, and visualize data
Must have prior experience using either R, Python, ArcGIS, or another data analysis tool or language other than Microsoft Excel - R and Python are strongly preferred
Understanding of database structure, design, query languages (e.g. SQL) helpful
Interests & Communication
Passion for creating the best possible work product; attention to detail
Motivated to apply STEM fields to societal challenges
Strong intellectual curiosity
● Excellent interpersonal and communication skills
● Able to effectively communicate ideas and analysis to non-technical staff.
How To Apply
Please send a cover letter, resume, any code samples (scripts, R or Jupyter notebooks, or a
Github repo), the dates you are available to work, and any questions you may have to:
email@example.com using the subject line: “i-team data science fellow”