Details: Competitive, based on experience
About the Team
The Program Framework department is responsible for the strategy, direction, and definition of the Teach To One (TTO) program design. The team guides the overall program design and stewards the alignment of implementation with that design. Design activities encompass the TTO program as a whole, including Instructional Design & Progressions, Implementation, Scheduling, Technology, User Experience, and more. The team works closely with the Chief Program Officer and Chief Academic Officer to ensure a cohesive vision for the TTO program, and uses that vision to guide its design and development.
This is a growing team, as such successful candidates for the team will be entrepreneurs, ready to partner and collaborate to figure out how the work will be done. Relatedly, members of this team will have the opportunity to shape not only how they work but to shape the future of TTO: Math.
- You enjoy working collaboratively to solve complex, multi-faceted problems. You have the ability to use bothinductive reasoning to take observations and then use those observations to come up with a general theory anddeductive reasoning to create a general theory and then work towards a specific hypothesis that can be tested
- You are eagerly adept at applying mathematical frameworks to abstract problems in creative ways in order to derive concrete solutions and are comfortable thinking in both abstract and concrete terms
- You have a proclivity for pattern recognition & algorithmic thinking; a way of getting to a solution through the clear definition of the steps needed, including the abilities to:
- Specify problems precisely and deeply analyze those problems
- Find the basic actions for solving a problem and construct a correct algorithmic solution to the problem with those actions
- Identify and consider all possible normal and special cases of a problem
- Improve the efficiency of an algorithm
- You can generate creative ideas and solutions without being constrained by best practices or current state
- You seek out multiple different perspectives and are able to productively suspend your own judgement about their merit
- You derive insight and recommend actions from analysis of qualitative and quantitative inputs
What You Would Do
This role represents the opportunity to work closely with expert peers to design, drive forward, and steward the future of personalized scheduling for TTO: Math. Personalized scheduling in TTO: Math entails setting up each student for a learning experience on the right concept at the right time in the right way in order to most effectively grow each student’s mathematical understanding.
In helping the Program Framework team to design the future of personalized scheduling, you would:
- Drive solutions in personalized scheduling aiming for improved student outcomes and increased operational effectiveness and efficiency
- Create mathematical models that capture the interactions of multiple complex variables and constraints in order to solve for problems in those interactions
- Find creative ways to optimize complex variables, while balancing mutually exclusive constraints
- Translate the insights and solutions found in those models into understandable business concepts
- Deeply understand the planned and actual academic progression of students over multiple time horizons, e.g., school years, academic terms, or each day
- Participate as a contributing team member in cross functional projects and ongoing issue resolution by reviewing or, in many cases, directly collaborating on solutions
- In addition to driving the future design of scheduling, solve for issues in the short-term to achieve incremental improvements in outcomes
- Engage with data scientists on the Data Solutions team to transform insights from data into new ways of solving challenges in personalized scheduling
What We Are Looking For
- BA degree required, Graduate degree (Masters or PhD) preferred (any related discipline, such as applied mathematics, operations research, or industrial engineering)
- 5-7 years of experience working on optimization or algorithmic design in an industry role or consulting role
- Demonstrated track record of creating and implementing innovative practices that quantitatively and qualitatively improve results on related measures of success
- Strong analytical track record of using data to drive improved outcomes
- Eagerness to share our vision for a world where personalized learning is just the way students learn — a world where every student attends a school that meets them where they are, adapts to the unique ways they learn, and develops habits for lifelong success
- Comfort with ambiguity and willingness to embrace change
- Interest in education technology or education reform, required
All qualified applicants will receive consideration for employment without regard to age, race, creed, color, national origin, ancestry, marital status, affectional or sexual orientation, gender identity or expression, disability, nationality or sex.
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification document form upon hire.
Minimum Education Required