Now hiring:

Data Science Fellow

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 “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.

Timetable

  • 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.

Qualifications

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.

  • 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.

  • Must love Baltimore.

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: justin.elszasz@baltimorecity.gov using the subject line: “i-team data science fellow”