We’re Hiring Data Scientists!
MPD is seeking data scientists who can use their expertise in causal inference and advanced data analysis to make a positive, lasting difference for DC residents. Join our team of social scientists and analysts at the forefront of evidence-based policing. Working within the Metropolitan Police Department, you will help generate actionable insights from large administrative datasets to provide timely, relevant, and scientifically rigorous evidence to inform MPD’s policies, programs, and decision-making. From gun violence reduction to police training, reimagining police stops and response to innovations to improve public safety outcomes, you will have the opportunity to work on issues at the forefront of policing and public safety today.
We're looking for someone in the DC/MD/VA region or who is ready to move as soon as we return to in person work. Our team resides at MPD headquarters, but during the COVID public health emergency, we are teleworking.
To give you a taste of the data science projects we’ve recently worked on…
- Conducting one of the [ Link Removed ] of police body-worn cameras completed to date with our partners at The Lab @ DC
- [ Link Removed ] with the National Museum of African American History and Culture (NMAAHC) on policing in historical and cultural context with our partners at The Lab @ DC
- Preparing [ Link Removed ] for public release
- Analyses of gun violence in the District to inform the work of the DIstrict’s new [ Link Removed ]
You’ll also have the opportunity to collaborate closely with our research partners at [ Link Removed ] and learn from a community of data scientists, social scientists, and technologists in District government.Job Requirements
Our Ideal Candidate Has...
- A Master’s degree OR equivalent work experience in economics, political science, statistics, mathematics, or other quantitative field.
- A drive to use skills in programming, statistics, and scientific communication to make a positive difference in DC residents’ lives.
- Expertise in data analytics and scientific methodology and a passion to apply those scientific talents to improve government and MPD performance.
- Proficiency in creatively determining which analytic approaches and computing techniques are most appropriate for a given data situation.
- Proficiency and creativity in visualizing, analyzing, and communicating insights from data.
- Expertise using R or Python for descriptive statistics, predictive analytics, machine learning, causal inference, and other scientific methods to learn about and derive insights from the relationships within complex datasets.
- Expertise in handling complex datasets, including importing, merging, and reshaping datasets, as well as handling duplicates, discrepancies, missing entries, and other quirks of large administrative data.
- Expertise, as demonstrated by advanced coursework or equivalent experience in at least two (2) of the following: machine learning; econometrics; design and analyses of experiments; or data visualization and interaction.
- Experience accessing data through a variety of methods including APIs, SQL databases, etc. A plus for experience designing and building data infrastructure needs.
- Experience with GIS mapping.
- Strong communication skills, in both written and verbal formats, and including under time pressure.
- Strong interpersonal skills, including the ability to develop and maintain relationships with a diverse range of agency, government, and university partnerships.
Our Application Process
- Apply through [ Link Removed ] , DC Human Resources’ application portal, by March 19, 2021 at 11:59pm EST. Search for Job ID: 12500. You’ll be asked to upload a resume, but no need for a cover letter. Truly. We won’t read it.
- Select candidates will be given about two weeks to complete a performance task which helps us get a sense of your skills and fit for the role. We anticipate this being around the end of March – early April.
- A smaller group of select candidates will then be invited to interview virtually. We anticipate this being in mid-April.
- We hope to make an offer by the end of April.