Founded by Adam Pisoni, the co-founder and former CTO of Yammer, Abl is an early-stage edtech company developing a data insights platform for K12 principals.
In summer 2017, we launched our first product, a next-generation Master Scheduler that allows school leaders to build student-centric schedules. Master schedules are the pulse of school operations. Current scheduling tools are not designed to help school leaders meet the needs and personal interests of every student.
We are looking for an experienced Data Scientist, and in this role, you will help schools understand the impact operational changes have on their students and staff. You’ll collaborate with a team of product designers, engineers, and school leaders to build software features that help schools overcome complex logistical challenges.
As a Data Scientist at Abl, your work will immediately improve equity in and operations of schools across the country. You will collaborate with product designers to determine what to build and prototype, with engineers to deploy software into production use, and with our schools team to provide decision support for K12 principals who are implementing novel solutions to complex scheduling problems.
Recent data science projects include:
- Defining and calculating measures of inequity for students within a school schedule
- Building recommendations for course placement in a schedule
- Proposing and prototyping algorithms for supporting team teaching best practices
- Developing metrics and visualizations for student tracking
Our product research and development team is small, passionate, and inclusive. You will be the second Data Scientist at Abl and will work across the product and business.
As a data team, our goal is to produce software and insights that are proactive, guiding our peers and school leaders towards the right thing to do next, rather than taking a reactive view or simply describing what has been done. For the current stage of our business, our domain, and our customers, we have found that a bias towards reproducible, and more easily interpretable models and metrics is more useful than attempting to ruthlessly optimize an algorithm.
- Build underlying systems that power our data-driven products (e.g., recommendation engines, constraint solvers, and predictive models)
- Consult directly with school leaders to work on complex problems within Abl’s product using your research and rapid prototyping skills to push new features into production
- Perform data profiling, complex sampling, and statistical modeling
- Design and develop tailored data models for K12 schools
- Identify incomplete data, improve the quality of data, and integrate data from several data sources
- Work on the challenge of combining data from across schools and districts, who all store things differently, so that we can measure our impact in aggregate
- Determine how to evaluate equity, or fairness, for students and for teachers
- Propose metrics for evaluating the overall quality of a schedule and methods for comparing multiple schedules’ ability to meet school leader priorities
- Find trends and insights in complex, human-generated school data
- Proficiency in writing SQL queries
- Ability and desire to present complex findings in a simple, approachable way for non-technical audiences (e.g., in writing, through reporting tools, and at in-person presentations)
- Experience with cleaning, structuring, and transforming data via ETL processes
- Ability to design and deploy machine learning algorithms and models
Abl employees all share a passion for revolutionizing education through school design, whether or not they have prior experience working in the field. We value the diversity of background and thought. We strive to create a safe and supportive environment where trust, communication, creativity, and humility are valued as highly as technical skills. We believe shared ownership builds a more resilient company, and we tackle hard problems, together. If that sounds like your dream work environment, we look forward to hearing from you.