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 ( 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

“middle neighborhoods.”

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

from DHCD.

● 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: using the subject line: “i-team data science fellow”