OPPORTUNITY TO INNOVATE
The Los Angeles Innovation Team (i-team), is a dedicated team of strategists, designers, and data scientists reporting to the Chief Innovation Officer in Mayor Garcetti’s executive office. We are known for our out-of-the-box thinking, data-driven solutions, and relentless focus on impact. Combining research, prototyping, and testing, the team works collaboratively with partners across City departments to launch initiatives that will positively impact all Angelenos.
Since its inception in 2015 as part of Bloomberg Philanthropies’ i-team network, the Los Angeles i-team has functioned as an in-house consultancy, focused on many of Mayor Garcetti’s key agenda items, including housing and business displacement in gentrifying neighborhoods, workforce development in a changing economy, and improving LAPD recruitment and hiring practices to ensure a diverse workforce.
The i-team approach leverages data-driven research and works closely with internal and external City partners to tackle cities’ biggest, most pressing challenges. The Data Scientist is an integral member of the i-team with high-level exposure to City government leadership, departments, and stakeholders. The role is very collaborative and, along with the i-team as a whole, is expected to support City leaders in making decisions and driving positive change.
ABOUT THE ROLE
The Los Angeles i-team is recruiting a Data Scientist who will lead all data and technology projects for the Innovation Team. Responsibilities for this role include gathering, cleaning, and understanding relevant structured and unstructured data; developing sophisticated analysis and predictive models; and creating and tracking performance metrics for projects. Additionally, given the City’s commitment to data-driven decision-making, there will be an ongoing need to assess the impact of different policy options in real-time, continually ensuring the Mayor’s Office is responsive to needs on-the-ground, especially during the current COVID-19 pandemic and protests over racial justice.
The Data Scientist will drive the development and implementation of data science and research analysis projects both related to the i-team’s core project work, as well as one-off projects, including data-specific deliverables such as mapping applications. Working closely with the other members of the Innovation Team and the Chief Innovation Officer, the Data Scientist will produce original quantitative insights to drive the work, as well as participate in stakeholder interviews and team insight-generating activities, such as ideation sessions. The ideal candidate will be someone who can both perform in-depth analysis and clearly communicate key insights with internal and external stakeholders, starting with the other members of the i-team.
RESPONSIBILITIES FOR THE POSITION INCLUDE, BUT ARE NOT LIMITED TO:
The ideal candidate possesses a passion for leveraging data for good and for making meaningful, sustainable change in Los Angeles. This individual is someone who proactively seeks out new challenges and is ready to work in a high-energy, openly collaborative work environment.
The Data Scientist will need to simultaneously balance adherence to an innovative process and protocol, while also thinking creatively about how to turn abstract concepts into practical applications. Additionally, the Data Scientist should have an interest in public sector topics such as public health, homelessness, poverty reduction, and equity.
Undergraduate degree required, advanced degree preferred, ideally in computer science, statistics,
math or data science.
Salary will be commensurate with experience, along with additional benefits.
Qualified candidates should share a cover letter, work sample (see instructions below), and resume by June 26th for consideration, but applications will be reviewed on a rolling basis.
Work Sample Instructions
Please provide a sample of your work that illustrates how you have leveraged data to understand and identify solutions to a problem – preferably related to a civic or social issue but not required. Your work sample should illustrate your proficiency with data transformations, visualization, and a scripted language.
Please include a short write-up (800 - 1,200 words) to accompany the work sample that describes the problem being addressed, insights you uncovered, the approach and tools used, and a description or sample of the data used. Please also include any code that you used.
Please send all application materials to: